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Journal articles on the topic 'Satellite image correction'

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1

Ke, Luong Chinh, Tran Ngoc Tuong, and Nguyen Van Hung. "Correction of spectral radiance of optical satellite image for mountainous terrain for studying land surface cover changes." Geodesy and Cartography 63, no. 1 (2014): 39–53. http://dx.doi.org/10.2478/geocart-2014-0003.

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Abstract Qualitative and quantitative results of high terrain elevation effect on spectral radiance of optical satellite image which affect the accuracy in retrieving of land surface cover changes is given. The paper includes two main parts: correction model of spectral radiance of satellite image affected by high terrain elevation and assessment of impacts and variation of land cover changes before and after correcting influence of high terrain elevation to the spectral radiance of the image. Study has been carried out with SPOT 5 in Hoa Binh mountain area of two periods: 2007 and 2010. Resul
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2

Prajapati, Dhruti, Mayur Raj, and Manoj Lunagariya. "Atmospheric Correction of Multiple Reflectance using S3." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 6 (2019): 65–68. http://dx.doi.org/10.17762/ijritcc.v7i6.5331.

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In remote sensing multi-temporal images are used for assorted type of analysis. The image which is taken by satellite or airborne sensors is affected by atmosphere, so the reflected solar radiation of the image is not actual. Image with incorrect reflectance has no means. Such kind of image need to be corrected before usage. Image comprises of list of values, which needs to undergo this correction process. Existing paradigm provides a means to correct a single reflectance value at a time. Thus, for a list of values, this correction process is cumbersome and tedious. This paper presents a parad
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Moravec, David, Jan Komárek, Serafín López-Cuervo Medina, and Iñigo Molina. "Effect of Atmospheric Corrections on NDVI: Intercomparability of Landsat 8, Sentinel-2, and UAV Sensors." Remote Sensing 13, no. 18 (2021): 3550. http://dx.doi.org/10.3390/rs13183550.

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Sentinel-2 and Landsat 8 satellites constitute an unprecedented source of freely accessible satellite imagery. To produce precise outputs from the satellite data, however, proper use of atmospheric correction methods is crucial. In this work, we tested the performance of six different atmospheric correction methods (QUAC, FLAASH, DOS, ACOLITE, 6S, and Sen2Cor), together with atmospheric correction given by providers, non-corrected image, and images acquired using an unmanned aerial vehicle while working with the normalised difference vegetation index (NDVI) as the most widely used index. We te
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Katkovsky, Leonid. "Atmospheric correction of multispectral satellite imagery." Ukrainian journal of remote sensing, no. 25 (June 25, 2020): 4–11. http://dx.doi.org/10.36023/ujrs.2020.25.170.

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Atmospheric correction is a necessary step in the processing of remote sensing data acquired in the visible and NIR spectral bands.The paper describes the developed atmospheric correction technique for multispectral satellite data with a small number of relatively broad spectral bands (not hyperspectral). The technique is based on the proposed analytical formulae that expressed the spectrum of outgoing radiation at the top of a cloudless atmosphere with rather high accuracy. The technique uses a model of the atmosphere and its optical and physical parameters that are significant from the point
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Jacobsen, K. "ANALYSIS AND CORRECTION OF SYSTEMATIC HEIGHT MODEL ERRORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 333–39. http://dx.doi.org/10.5194/isprsarchives-xli-b1-333-2016.

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The geometry of digital height models (DHM) determined with optical satellite stereo combinations depends upon the image orientation, influenced by the satellite camera, the system calibration and attitude registration. As standard these days the image orientation is available in form of rational polynomial coefficients (RPC). Usually a bias correction of the RPC based on ground control points is required. In most cases the bias correction requires affine transformation, sometimes only shifts, in image or object space. For some satellites and some cases, as caused by small base length, such an
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Jacobsen, K. "ANALYSIS AND CORRECTION OF SYSTEMATIC HEIGHT MODEL ERRORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 333–39. http://dx.doi.org/10.5194/isprs-archives-xli-b1-333-2016.

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The geometry of digital height models (DHM) determined with optical satellite stereo combinations depends upon the image orientation, influenced by the satellite camera, the system calibration and attitude registration. As standard these days the image orientation is available in form of rational polynomial coefficients (RPC). Usually a bias correction of the RPC based on ground control points is required. In most cases the bias correction requires affine transformation, sometimes only shifts, in image or object space. For some satellites and some cases, as caused by small base length, such an
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7

Jacobsen, K. "PROBLEMS AND LIMITATIONS OF SATELLITE IMAGE ORIENTATION FOR DETERMINATION OF HEIGHT MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 257–64. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-257-2017.

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The usual satellite image orientation is based on bias corrected rational polynomial coefficients (RPC). The RPC are describing the direct sensor orientation of the satellite images. The locations of the projection centres today are without problems, but an accuracy limit is caused by the attitudes. Very high resolution satellites today are very agile, able to change the pointed area over 200km within 10 to 11 seconds. The corresponding fast attitude acceleration of the satellite may cause a jitter which cannot be expressed by the third order RPC, even if it is recorded by the gyros. Only a co
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8

Bahtiar, Ega Abi, Agus Suprianto, and S. Supriyadi. "Identification of The Geothermal Heat at Mount Iyang-Argopuro Based on a Data Image of Landsat 8 Satellite and a Data Gravity of GGMPlus Satellite." Computational And Experimental Research In Materials And Renewable Energy 4, no. 1 (2021): 44. http://dx.doi.org/10.19184/cerimre.v4i1.24966.

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In Indonesia is the Iyang-Argopuro Volcano Complex. The Research uses remote sensing methods and gravity methods conducted to study thermal anomalies and subsurface structures using Data images of Landsat 8 satellite and a data gravity of GGMPlus satellite. Moreover, the study aims to estimate the number of hoisting manifestations of the earth's heat at the compound of the Iyang-Argopuro volcano. Landsat 8 satellite image data is a spectral band (band 1-9) and a thermal band (band 10 and 11). The data was done in radiometric corrections, radiance correction, and reflex corrections, and was thu
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9

Zhu, Y., S. Jin, Y. Tian, and M. Wang. "ROI-ORIENTATED SENSOR CORRECTION BASED ON VIRTUAL STEADY REIMAGING MODEL FOR WIDE SWATH HIGH RESOLUTION OPTICAL SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 587–92. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-587-2017.

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To meet the requirement of high accuracy and high speed processing for wide swath high resolution optical satellite imagery under emergency situation in both ground processing system and on-board processing system. This paper proposed a ROI-orientated sensor correction algorithm based on virtual steady reimaging model for wide swath high resolution optical satellite imagery. Firstly, the imaging time and spatial window of the ROI is determined by a dynamic search method. Then, the dynamic ROI sensor correction model based on virtual steady reimaging model is constructed. Finally, the corrected
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10

Mahalakshmi, T., and Alluri Sreenivas. "Adaptive Filter with Type-2 Fuzzy System and Optimization-Based Kernel Interpolation for Satellite Image Denoising." Computer Journal 63, no. 6 (2020): 913–26. http://dx.doi.org/10.1093/comjnl/bxz168.

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Abstract Satellite image denoising is a recent trend in image processing, but faces many challenges due to the environmental factors. Previous works have developed many filters for denoising the hyperspectral satellite images. Accordingly, this work utilizes an adaptive filter with the type 2 fuzzy system and the optimization-based kernel interpolation for the satellite image denoising. Here, the image denoising has been done through three steps, namely noise identification, noise correction and image enhancement. Initially, the type 2 fuzzy system identifies the noisy pixels in the satellite
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11

Hariyanto, Teguh, Akbar Kurniawan, Cherie Bhekti Pribadi, and Rizal Al Amin. "Optimization of Ground Control Point (GCP) and Independent Control Point (ICP) on Orthorectification of High Resolution Satellite Imagery." E3S Web of Conferences 94 (2019): 02008. http://dx.doi.org/10.1051/e3sconf/20199402008.

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In the rapidly evolving technology era, various survey methods have been widely used one of them by remote sensing using satellite. It is known that the satellite image recording process is covered by rides (satellites) moving over the Earth's surface at hundreds of kilometers, causing satellite imagery to have geometric distortion. To reduce the effect of geometric distortion of objects on the image, geometric correction by orthorectification is done. Pleiades is a satellite of high resolution satellite image producer made by Airbus Defense & Space company. The resulting satellite imagery
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12

Jia, Zhi Le, Xiao Ping Lu, Wen Qan Zang, and Qing Chen Liu. "Research on Fast Geometric Precision Correction of HJ-1 Remote Sensing Image." Applied Mechanics and Materials 427-429 (September 2013): 1481–84. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1481.

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As the basis application of remote sensing image ,the satellite remote sensing image geometric precision correction is an important means that to weaken the image itself with the real terrain morphological differences. In this paper, we used HJ-1 satellite CCD data as the research object, using the SIFT algorithm in combination with GPU parallel computing fast extracting and matching feature points, based on polynomial correction model to build calibration system, independent of the HJ-1 satellite imagery geometric precision correction, and achieved a higher accuracy.
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13

Kornus, W., A. Magariños, M. Pla, E. Soler, and F. Perez. "PHOTOGRAMMETRIC PROCESSING USING ZY-3 SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W2 (March 10, 2015): 109–13. http://dx.doi.org/10.5194/isprsarchives-xl-3-w2-109-2015.

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This paper evaluates the stereoscopic capacities of the Chinese sensor ZiYuan-3 (ZY-3) for the generation of photogrammetric products. The satellite was launched on January 9, 2012 and carries three high-resolution panchromatic cameras viewing in forward (22º), nadir (0º) and backward direction (-22º) and an infrared multi-spectral scanner (IRMSS), which is slightly looking forward (6º). The ground sampling distance (GSD) is 2.1m for the nadir image, 3.5m for the two oblique stereo images and 5.8m for the multispectral image. The evaluated ZY-3 imagery consists of a full set of threefold-stere
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Lee, Y., and T. Kim. "ANALYSIS OF GEOMETRIC AND ORTHOGONAL CORRECTION ACCURACY FOR CAS-500 SATELLITE IMAGES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2021 (June 28, 2021): 57–61. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2021-57-2021.

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Abstract. This paper reports on geolocation accuracy of image products generated from Precision Image Processing (PIP) system developed for CAS-500 Satellite images. CAS-500, launched on 22 March, 2021, will be used mainly for land monitoring and 1:5000 scale mapping over the Korean Peninsula. For this purpose, ground control points (GCPs) and a Digital Terrain Model (DTM) have been collected over the Peninsula and integrated into the PIP for the generation of precision image product in an automated manner. The goal of this paper is to analyze the geolocation accuracy of image products generat
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15

Xiao, Sa, Xinpeng Tian, Qiang Liu, Jianguang Wen, Yushuang Ma, and Zhenwei Song. "A SEMI-EMPIRICAL TOPOGRAPHIC CORRECTION MODEL FOR MULTI-SOURCE SATELLITE IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-3 (April 23, 2018): 225–32. http://dx.doi.org/10.5194/isprs-annals-iv-3-225-2018.

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Topographic correction of surface reflectance in rugged terrain areas is the prerequisite for the quantitative application of remote sensing in mountainous areas. Physics-based radiative transfer model can be applied to correct the topographic effect and accurately retrieve the reflectance of the slope surface from high quality satellite image such as Landsat8 OLI. However, as more and more images data available from various of sensors, some times we can not get the accurate sensor calibration parameters and atmosphere conditions which are needed in the physics-based topographic correction mod
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16

Asokan, Anju, Daniela E. Popescu, J. Anitha, and D. Jude Hemanth. "Bat Algorithm Based Non-linear Contrast Stretching for Satellite Image Enhancement." Geosciences 10, no. 2 (2020): 78. http://dx.doi.org/10.3390/geosciences10020078.

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The remote sensing images acquired from the satellites are low contrast images. The availability of low contrast images and failure of the traditional methods such as Histogram Equalization and Gamma correction in preserving the brightness levels in the image are the main issues in satellite image processing. This paper proposes an optimized contrast stretching using non-linear transformation for image enhancement. The non-linear transformation is influenced by the appropriate choice of control parameters for the sample images since manual tuning for individual images is tedious. A Bat algorit
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17

Lee, H., and M. Hahn. "POINT-TO-SURFACE MATCHING FOR DEM CORRECTION USING ICESAT DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 715–20. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-715-2020.

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Abstract. Vendor-provided rational polynomial coefficients (RPCs) are commonly used to generate digital elevation models (DEMs) from high-resolution satellite images. This results in a level of accuracy that can be improved using ground control points (GCPs). It is well known that due to the inherent bias of sensor orientation the generated DEM is distorted. In the traditional way of working, the bias is corrected by integrating GCPs into the standard processing chain. This involves additional effort, since the provision of GCPs and the measurement of their image coordinates are required.In th
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18

Wang, Ping, Zhu Rong Xing, and You Gui Feng. "Comparison of Evaluation Based on Different Atmospheric Correction Methods for HJ-1A Hyperspectral Imaging Data." Applied Mechanics and Materials 108 (October 2011): 224–29. http://dx.doi.org/10.4028/www.scientific.net/amm.108.224.

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HJ-1 Hyperspectral image radiometer is on the HJ-1A satellite. It will provide images about 115 spectral bands between 0.45 and 0.95μm, with spatial resolution of 100 meters and give a return visit every 96 hours. Atmospheric correction models of 6S and FLAASH were applied to the image. The results showed that both models could carry out the radiation correction to radiation-induced distortion caused by atmospheric effects, but correction results were different. 6S had well results comparing to the in-situ spectrum of vegetation. The image quality was better which had the further application a
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19

Palkin, M. V. "Satellite Formation Flying Control Using Image Processing." Mekhatronika, Avtomatizatsiya, Upravlenie 20, no. 1 (2019): 52–58. http://dx.doi.org/10.17587/mau.20.52-58.

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A problem of a formation flying control is observed. As an example a concept of a multysatellite configuration ("space commercial") is described. Space advertisement is realized by groups of specialized free flying and cable-connected satellites, and their combinations. Construction of a space commercial satellite and a set of a control system equipment is presented. Several methods for group configuration are presented: periodic impulse correction of each flying satellite position formation; method of a satellite positioning on nocoplanar orbits. Other methods include combinations of methods
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Wang, Mi, Ying Zhu, Yanli Wang, and Yufeng Cheng. "The Geometric Imaging Model for High-Resolution Optical Remote Sensing Satellites Considering Light Aberration and Atmospheric Refraction Errors." Photogrammetric Engineering & Remote Sensing 86, no. 6 (2020): 373–82. http://dx.doi.org/10.14358/pers.86.6.373.

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With advances in satellite maneuvering imaging capability, stereoscopic images with large roll and pitch angles can be captured to improve the efficiency of observations. At the same time, the influences of light aberration and atmospheric refraction on image positioning accuracy will be more significant. However, these errors are not accounted for in the traditional imaging and calibration model for optical agile satellites. In this study, the formation mechanisms of the aberration and atmospheric refraction errors in optical remote sensing satellite Earth observation imaging were analyzed qu
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Zhang, Wei, Wei Wu, Yan Cui, and Wei Wang. "HJ-1-A/B optical satellite image geometric correction." IOP Conference Series: Earth and Environmental Science 17 (March 18, 2014): 012221. http://dx.doi.org/10.1088/1755-1315/17/1/012221.

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Seiz, G., E. P. Baltsavias, and A. Gruen. "3D cloud products for weather prediction and climate modelling." Geographica Helvetica 58, no. 2 (2003): 90–98. http://dx.doi.org/10.5194/gh-58-90-2003.

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Abstract. In this paper, the possibilities of satellite-based and ground-based stereoscopy of clouds are examined, with the objective to derive cloud top and cloud base heights and motion. These parameters are very important for a better description of clouds for nowcasting and numerical weather prediction models. For the satellite part, images of ATSR2 (on ERS-2) and MISR (on EOS Terra) are used. As stereo image pairs from polar-orbiting satellites are never perfectly synchronous (time delay of some seconds between the image reeeption from the different viewing angles), the height error of th
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Tsukamoto, Naoko, Yoshihiro Sugaya, and Shinichiro Omachi. "Spectrum Correction Using Modeled Panchromatic Image for Pansharpening." Journal of Imaging 6, no. 4 (2020): 20. http://dx.doi.org/10.3390/jimaging6040020.

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Pansharpening is a method applied for the generation of high-spatial-resolution multi-spectral (MS) images using panchromatic (PAN) and multi-spectral images. A common challenge in pansharpening is to reduce the spectral distortion caused by increasing the resolution. In this paper, we propose a method for reducing the spectral distortion based on the intensity–hue–saturation (IHS) method targeting satellite images. The IHS method improves the resolution of an RGB image by replacing the intensity of the low-resolution RGB image with that of the high-resolution PAN image. The spectral character
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Zhou, G., Z. Wu, W. Wang, et al. "EXTRACTION OF ROCKY DESERTIFICATION FROM DISP IMAGERY: A CASE STUDY OF LIUPANSHUI, GUIZHOU, CHINA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 1061–65. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-1061-2017.

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Karst rocky desertification is a typical type of land degradation in Guizhou Province, China. It causes great ecological and economical implications to the local people. This paper utilized the declassified intelligence satellite photography (DISP) of 1960s to extract the karst rocky desertification area to analyze the early situation of karst rocky desertification in Liupanshui, Guizhou, China. Due to the lack of ground control points and parameters of the satellite, a polynomial orthographic correction model with considering altitude difference correction is proposed for orthorectification o
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Statella, Thiago. "Geometric quality assessment of CBERS-4 MUXCAM image." Revista Brasileira de Geomática 4, no. 2 (2016): 116. http://dx.doi.org/10.3895/rbgeo.v4n2.5498.

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In December 2014, Brazil and China successfully launched the CBERS-4 satellite, the fourth generation of CBERS satellites. In the payload module, the satellite carries the MUXCAM, a 20 m/pixel spatial resolution multispectral camera. The MUXCAM was built by Brazil and it is an improvement of the CCD camera on board CBERS-1, 2 and 2B satellites. In this paper the geometric quality of the MUXCAM images is analyzed. One can measure the geometric quality of the CCD sensor by calculating the positioning and the internal accuracy of the images acquired by it. The positional accuracy for the MUXCAM r
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Santosa, Purnama Budi. "Evaluation of Satellite Image Correction Methods Caused by Differential Terrain Illumination." Forum Geografi 30, no. 1 (2016): 1. http://dx.doi.org/10.23917/forgeo.v30i1.1768.

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The problem due to differential terrain illumination on satellite imagery is experienced by most of areas which are on mountainous terrain. This may cause variations in reflectance of similar ground features which lead to a misclassification of land cover classes due to different topographic positions. This phenomenon most commonly occurred in the areas which are located on southern and northern hemisphere because of the low sun inclination. This problem has been a major interest for researchers to be solved prior to the land cover classification process. For satellite images which experience
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Yang, Xiao Feng, and Xing Ping Wen. "Atmospheric Correction of Landsat ETM+ Remote Sensing Data Using 6S Code and its Validation." Applied Mechanics and Materials 29-32 (August 2010): 2365–68. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2365.

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Atmospheric correction is one of the most important pre-processing steps in quantitative remote sensing. To extract quantitative information from the Enhanced Thematic Mapper-Plus (ETM+) imagery accurately, atmospheric correction is a necessary step. Furthermore, multi-temporal images after atmospheric correction can be compared to each other quantitatively. The Second simulation of satellite signal in the solar spectrum (6S) radiative code can process many types of satellite data and provide several standard atmosphere and aerosol models for atmospheric correction. This paper demonstrates atm
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Harichandana, M., V. Sowmya, V. V. Sajithvariyar, and R. Sivanpillai. "COMPARISON OF IMAGE ENHANCEMENT TECHNIQUES FOR RAPID PROCESSING OF POST FLOOD IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-2-2020 (November 17, 2020): 45–50. http://dx.doi.org/10.5194/isprs-archives-xliv-m-2-2020-45-2020.

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Abstract. Satellite images are widely used for assessing the areal extent of flooded areas. However, presence of clouds and shadow limit the utility of these images. Numerous digital algorithms are available for enhancing such images and highlighting areas of interest. These algorithms range from simple to complex, and the time required to process these images also varies considerably. For disaster response, it is important to select an algorithm that can enhance the quality of the images in relatively short time. This study compared the relative performance of five traditional (Histogram Equa
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Li, Zhiwei, Huanfeng Shen, Qing Cheng, Wei Li, and Liangpei Zhang. "Thick Cloud Removal in High-Resolution Satellite Images Using Stepwise Radiometric Adjustment and Residual Correction." Remote Sensing 11, no. 16 (2019): 1925. http://dx.doi.org/10.3390/rs11161925.

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Cloud cover is a common problem in optical satellite imagery, which leads to missing information in images as well as a reduction in the data usability. In this paper, a thick cloud removal method based on stepwise radiometric adjustment and residual correction (SRARC) is proposed, which is aimed at effectively removing the clouds in high-resolution images for the generation of high-quality and spatially contiguous urban geographical maps. The basic idea of SRARC is that the complementary information in adjacent temporal satellite images can be utilized for the seamless recovery of cloud-conta
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Agapiou, Athos. "Land Cover Mapping from Colorized CORONA Archived Greyscale Satellite Data and Feature Extraction Classification." Land 10, no. 8 (2021): 771. http://dx.doi.org/10.3390/land10080771.

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Land cover mapping is often performed via satellite or aerial multispectral/hyperspectral datasets. This paper explores new potentials for the characterisation of land cover from archive greyscale satellite sources by using classification analysis of colourised images. In particular, a CORONA satellite image over Larnaca city in Cyprus was used for this study. The DeOldify Deep learning method embedded in the MyHeritage platform was initially applied to colourise the CORONA image. The new image was then compared against the original greyscale image across various quality metric methods. Then,
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Jacobsen, K. "SYSTEMATIC GEOMETRIC IMAGE ERRORS OF VERY HIGH RESOLUTION OPTICAL SATELLITES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 233–38. http://dx.doi.org/10.5194/isprs-archives-xlii-1-233-2018.

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<p><strong>Abstract.</strong> Very high resolution optical satellites are imaging the object space by a combination of CCD-lines in one direction and by time, speed and satellite rotation in the other direction. The combination of the CCD-lines usually is known by pre-calibration. Remaining errors of the pre-calibration, also slightly depending upon the satellite movement and rotation, with few exceptions are usually small up to negligible. This may not be the case for the image component in the scan direction and the alignment of the line combinations - they are controlled b
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Li, Chang Hai, Yan Chun Liu, and Zhen Dong Xu. "A Method of Getting Special Landmark Outline in Satellite Image." Applied Mechanics and Materials 263-266 (December 2012): 2462–64. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2462.

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In allusion to non-exactness edge positioning in the process of place a three-dimensional model, a method of multi-scale wavelet transfer is applied to obtain edge signals from satellite image and perform pixel dot correction, which is proved to give prominence to the landmark edge curve without avoiding sacrificing the precision position of the target landmark edge .This method, with fixed dot correction, makes it more convenient and more precisely to settle down edge positioning in the process , in order to place a three-dimensional model.
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Rumora, Luka, Mario Miler, and Damir Medak. "Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using Machine Learning Classifiers." ISPRS International Journal of Geo-Information 9, no. 4 (2020): 277. http://dx.doi.org/10.3390/ijgi9040277.

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Atmospheric correction is one of the key parts of remote sensing preprocessing because it can influence and change the final classification result. This research examines the impact of five different atmospheric correction processing on land cover classification accuracy using Sentinel-2 satellite imagery. Those are surface reflectance (SREF), standardized surface reflectance (STDSREF), Sentinel-2 atmospheric correction (S2AC), image correction for atmospheric effects (iCOR), dark object subtraction (DOS) and top of the atmosphere (TOA) reflectance without any atmospheric correction. Sentinel-
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Hadjimitsis, D. G., G. Papadavid, A. Agapiou, et al. "Atmospheric correction for satellite remotely sensed data intended for agricultural applications: impact on vegetation indices." Natural Hazards and Earth System Sciences 10, no. 1 (2010): 89–95. http://dx.doi.org/10.5194/nhess-10-89-2010.

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Abstract. Solar radiation reflected by the Earth's surface to satellite sensors is modified by its interaction with the atmosphere. The objective of applying an atmospheric correction is to determine true surface reflectance values and to retrieve physical parameters of the Earth's surface, including surface reflectance, by removing atmospheric effects from satellite images. Atmospheric correction is arguably the most important part of the pre-processing of satellite remotely sensed data. Such a correction is especially important in cases where multi-temporal images are to be compared and anal
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Zylshal, Zylshal. "Topographic Correction of LAPAN-A3/LAPAN-IPB Multispectral Image: A Comparison of Five Different Algorithms." Quaestiones Geographicae 39, no. 3 (2020): 33–45. http://dx.doi.org/10.2478/quageo-2020-0021.

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AbstractReflectance variability in mountainous regions caused by steep slopes can decrease the accuracy of landcover mapping. Topographic correction aims to reduce this effect, and various techniques have been proposed to conduct such correction on satellite imagery. This paper presents the initial results of five different topographic correction techniques applied to LAPAN-A3 multispectral images, namely cosine correction, improved cosine correction, Minnaert correction, modified Minnaert correction and two-stage normalization. The widely-available ALOS World 3D 30 meter DEM was employed, wit
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Ye, Z., Y. Xu, C. Wei, X. Tong, and U. Stilla. "INFLUENCE OF IMAGE INTERPOLATION ON IMAGERY-BASED DETECTION AND COMPENSATION OF SATELLITE JITTER." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2020 (August 3, 2020): 157–63. http://dx.doi.org/10.5194/isprs-annals-v-1-2020-157-2020.

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Abstract. Satellite jitter is a common and complicated phenomenon that degrades the geometric quality of high-resolution satellite images. Imagery-based detection and compensation of satellite jitter have recently been widely concerned. However, most of the existing studies overlook the issue of image interpolation in this topic involving subpixel measurements. In this study, the influence of image interpolation on imagery-based detection and compensation of satellite jitter is investigated. Four different interpolators are separately applied in dense least squares matching for jitter detectio
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Audah, Safridatul. "Utilization of Satellite Landsat-8 Operational Land Imager (OLI) for Land Cover Classification Nutmeg Plantation In Tapaktuan Sub-District." Jurnal Inotera 3, no. 1 (2018): 23. http://dx.doi.org/10.31572/inotera.vol3.iss1.2018.id42.

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This research seeks to utilize technology remote sensing with satellite Landsat 8 OLI imagery by classification method to obtain the area of ??land cover used for nutmeg plantations in Tapaktuan Sub District. Several stages of image data processing methods have been done such as geometric correction of images, image cropping and image clsification.The result of geometric correction of image obtained RMS error of 0.011235 pixel, The geometric correction process has met the tolerance limit error > 1 pixel.
 As for the results of classification processing image Landsat-8 OLI year 2017 in
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Lee, Hyoseong, and Michael Hahn. "KOMPSAT-3 Digital Elevation Model Correction Based on Point-to-Surface Matching." Remote Sensing 11, no. 20 (2019): 2340. http://dx.doi.org/10.3390/rs11202340.

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In order to generate digital elevation models (DEMs) from high-resolution satellite images, the vendor-provided rational polynomial coefficients (RPCs) are commonly used. This results in a level of accuracy that can be improved by using ground control points (GCPs). The integration of the GCPs into the processing chain is associated with additional effort, since it requires the provision of GCPs as well as the measurement of its image coordinates. In this paper, the authors avoid the measurement of GCP image coordinates and propose a point-to-surface matching method to correct the DEM produced
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Dong, Y., R. Lei, D. Fan, L. Gu, and S. Ji. "A NOVEL RPC BIAS MODEL FOR IMPROVING THE POSITIONING ACCURACY OF SATELLITE IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 35–41. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-35-2020.

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Abstract. High-precision satellite image geolocation is the basis for advanced processing of satellite image data. Aiming at the optimization of the satellite image positioning accuracy based on rational polynomial coefficients (RPC), we propose an RPC image-space bias model that combines object-space information. Based on a comprehensive analysis of the full-link error of the satellite image geometric imaging process, the real object coordinates are introduced into the RPC correction to make the bias model better fit the actual error. Experiments were performed using several image datasets fr
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Kim, H. G., J. H. Son, and T. Kim. "AUTOMATED MOSAICKING OF GEOSTATIONARY OCEAN COLOR IMAGER BY COMBINATION OF SPATIAL AND FREQUENCY MATCHING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 495–99. http://dx.doi.org/10.5194/isprs-archives-xlii-2-495-2018.

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In general, image mosaicking is a useful and important processing for handling images with narrow field of view. It is being used widely for images from commercial cameras as well as from aerial and satellite cameras. For mosaicking images with geometric distortion, geometric correction of each image should be performed before combining images. However, automated mosaicking images with geometric distortion is not a trivial task. The goal of this paper is the development of automated mosaicking techniques applicable to handle GOCI images. In this paper, we try to extract tie-points by using spa
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صباح حسين علي, صباح حسين علي. "Study of the Effect of the Geometrical Correction of the Satellite Image on the Global Positioning System Tracking by Using Geographical Information System." journal of King Abdulaziz University Engineering Sciences 23, no. 2 (2012): 173–87. http://dx.doi.org/10.4197/eng.23-2.9.

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The use of Global Positioning System (GPS) for geometrical correction (rectification) of the satellite imagery aims to establish the relation between the image coordinate system and the GPS readout coordinate system. By using this technique, the errors existing within satellite image can be calibrated and reduced as well. This paper introduces application of Geographical Information System (GIS) and image processing software in addition to GPS for measuring the coordinates of waypoints to be as ground control points (GCPs) for the geometrical correction process of the QuickBird satellite image
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Mishra, V. D., J. K. Sharma, and R. Khanna. "Review of topographic analysis methods for the western Himalaya using AWiFS and MODIS satellite imagery." Annals of Glaciology 51, no. 54 (2010): 153–60. http://dx.doi.org/10.3189/172756410791386526.

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AbstractThe topographic effects of differential terrain illumination in optical satellite imagery of rugged mountainous regions have serious consequences for qualitative and quantitative analysis for various snow applications. Therefore, effective removal or minimization of topographic effects is necessary in satellite image data of mountainous regions. Different methods for topographic corrections, including C-correction, Minnaert corrections (including slope) and slope-matching method, are analysed in the context of snow reflectance. Combination of dark-object subtraction models DOS1 and DOS
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Wierzbicki, Damian, Michal Kedzierski, Anna Fryskowska, and Janusz Jasinski. "Quality Assessment of the Bidirectional Reflectance Distribution Function for NIR Imagery Sequences from UAV." Remote Sensing 10, no. 9 (2018): 1348. http://dx.doi.org/10.3390/rs10091348.

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Imaging from low altitudes is nowadays commonly used in remote sensing and photogrammetry. More and more often, in addition to acquiring images in the visible range, images in other spectral ranges, e.g., near infrared (NIR), are also recorded. During low-altitude photogrammetric studies, small-format images of large coverage along and across the flight route are acquired that provide information about the imaged objects. The novelty presented in this research is the use of the modified method of the dark-object subtraction technique correction with a modified Walthall’s model for correction o
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Hnatushenko, V. V., and V. Yu Kashtan. "AUTOMATED PANSHARPENING INFORMATION TECHNOLOGY OF SATELLITE IMAGES." Radio Electronics, Computer Science, Control, no. 2 (July 7, 2021): 123–32. http://dx.doi.org/10.15588/1607-3274-2021-2-13.

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Context. Nowadays, information technologies are widely used in digital image processing. The task of joint processing of satellite image obtained by different space systems that have different spatial differences is important. The already known pansharpening methods to improve the quality of the resulting image, there are new scientific problems associated with increasing the requirements for high-resolution image processing and the development of automated technology for processing the satellite data for further thematic analysis. Most spatial resolution techniques result in artifacts. Our wo
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Prayogo, Luhur Moekti, and Abdul Basith. "The Effect of Sunglint Correction for Estimating Water Depth Using Rationing, Thresholding, and Mean Value Algorithms." Rekayasa 14, no. 1 (2021): 39–48. http://dx.doi.org/10.21107/rekayasa.v14i1.8698.

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Satellite-Derived Bathymetry (SDB) is an alternative for obtaining shallow water depth data. The existence of images with various resolutions, the availability of a complete image band can develop the extraction results. This method is based on the principle of the satellite's visible band to estimate water depth. The mapping of shallow water depth is dependent on water conditions, both its brightness and surface. When the sensor senses a water object, the reflected reflection comes from the surface, and some sensors cannot penetrate the water object. The sun's position and the sensor's point
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Wang Tao, 王涛, 周川杰 Zhou Chuanjie, 易维宁 Yi Weining та ін. "基于大气校正提升亚米级卫星影像质量". Acta Optica Sinica 41, № 11 (2021): 1101002. http://dx.doi.org/10.3788/aos202141.1101002.

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Oštir, K., K. Čotar, A. Marsetič, et al. "Automatic Near-Real-Time Image Processing Chain for Very High Resolution Optical Satellite Data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 669–76. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-669-2015.

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In response to the increasing need for automatic and fast satellite image processing SPACE-SI has developed and implemented a fully automatic image processing chain STORM that performs all processing steps from sensor-corrected optical images (level 1) to web-delivered map-ready images and products without operator's intervention. <br><br> Initial development was tailored to high resolution RapidEye images, and all crucial and most challenging parts of the planned full processing chain were developed: module for automatic image orthorectification based on a physical sensor model an
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Ponzoni, Flávio J., Jurandir Zullo Junior, and Rubens A. C. Lamparelli. "In-flight absolute calibration of the CBERS-2 CCD sensor data." Anais da Academia Brasileira de Ciências 80, no. 2 (2008): 373–80. http://dx.doi.org/10.1590/s0001-37652008000200015.

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Since the first images of the sensors on board of CBERS-2 (China-Brazil Earth Resources Satellite) satellite were made available by the National Institute for Space Research (INPE), users have asked information about the conversion of image digital numbers to physical data (radiance or reflectance). This paper describes the main steps that were carried out to calculate the in-flight absolute calibration coefficients for CBERS-2 CCD level 2 (radiometric and geometric correction) images considering the reflectance-based method. Remarks about the preliminary evaluation of these coefficients appli
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Sharma, J., R. Prasad, V. N. Mishra, V. P. Yadav, and R. Bala. "LAND USE AND LAND COVER CLASSIFICATION OF MULTISPECTRAL LANDSAT-8 SATELLITE IMAGERY USING DISCRETE WAVELET TRANSFORM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 703–6. http://dx.doi.org/10.5194/isprs-archives-xlii-5-703-2018.

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<p><strong>Abstract.</strong> Land use and land cover (LULC) classification of satellite imagery is an important research area and studied exclusively in remote sensing. However, accurate and appropriate land use/cover detection is still a challenge. This paper presents a wavelet transform based LULC classification using Landsat 8-OLI data. The study area for the present work is a small part of Varanasi district, Uttar Pradesh, India. The atmospheric correction of the image was performed using Quick Atmospheric Correction (QUAC) method. The image was decomposed into its appro
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Chen, Yifu, and Zhong Xie. "Research on the Trajectory Model for ZY-3." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/429041.

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The new generation Chinese high-resolution three-line stereo-mapping satellite Ziyuan 3 (ZY-3) is equipped with three sensors (nadir, backward, and forward views). Its objective is to manufacture the 1 : 50000 topographic map and revise and update the 1 : 25000 topographic map. For the push-broom satellite, the interpolation accuracy of orbit and attitude determines directly the satellite’s stereo-mapping accuracy and the position accuracy without ground control point. In this study, a new trajectory model is proposed for ZY-3 in this paper, according to researching and analyzing the orbit and
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