Log in

Relevant bibliographies by topics / Satellite Remote Sensing technique / Journal articles

To see the other types of publications on this topic, follow the link: Satellite Remote Sensing technique.

Journal articles on the topic 'Satellite Remote Sensing technique'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Satellite Remote Sensing technique.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Zhang, Peng, Qin Qin, Shijie Zhang, et al. "Near Real-Time Remote Sensing Based on Satellite Internet: Architectures, Key Techniques, and Experimental Progress." Aerospace 11, no. 2 (2024): 167. http://dx.doi.org/10.3390/aerospace11020167.

Full text

Abstract:

Remote sensing has become an essential tool for geological exploration, disaster monitoring, emergency rescue, and environmental supervision, while the limited number of remote sensing satellites and ground stations restricts the timeliness of remote sensing services. Satellite Internet has features of large bandwidth, low latency, and wide coverage, which can provide ubiquitous high-speed access for time-sensitive remote sensing users. This study proposes a near real-time remote sensing (NRRS) architecture, which allows satellites to transmit remote sensing data via inter-satellite links and

APA, Harvard, Vancouver, ISO, and other styles

2

Li, Xiuhong, Chongxiang Sun, Huilong Fan, and Jiale Yang. "Remote-Sensing Satellite Mission Scheduling Optimisation Method under Dynamic Mission Priorities." Mathematics 12, no. 11 (2024): 1704. http://dx.doi.org/10.3390/math12111704.

Full text

Abstract:

Mission scheduling is an essential function of the management control of remote-sensing satellite application systems. With the continuous development of remote-sensing satellite applications, mission scheduling faces significant challenges. Existing work has many inherent shortcomings in dealing with dynamic task scheduling for remote-sensing satellites. In high-load and complex remote sensing task scenarios, there is low scheduling efficiency and a waste of resources. The paper proposes a scheduling method for remote-sensing satellite applications based on dynamic task prioritization. This p

APA, Harvard, Vancouver, ISO, and other styles

3

Cheng, Yun, and Qiao Lin Huang. "Study on the Data Processing Technique in High Resolution Remote Sensing Satellite." Applied Mechanics and Materials 220-223 (November 2012): 2079–82. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2079.

Full text

Abstract:

The development and application of high-resolution remote sensing was reviewed, the key problems which are confronted now were described, the main disparities between the research level home and abroad was analyzed. In the end, the prospect to the technique of improving image quality in high-resolution remote sensing satellite is given. Depending on self-operation of satellite system, accomplish the real-time image processing will be the trend of HR remote sensing in the future.

APA, Harvard, Vancouver, ISO, and other styles

4

Sangeetha.V1, Aishwarya.C.G Apoorva.T.M 2. "SATELLITE MULTISPECTRAL REMOTE SENSING IMAGE." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [AIVESC-18] (April 26, 2018): 22–27. https://doi.org/10.5281/zenodo.1230360.

Full text

Abstract:

The spectral classes of the imagery are finally translated into the different feature types in the image interpretation process (image processing). Presently, classification of all feature types is a manual process. Local and global climatic variability and change is inevitable which makes satellite imagery redundant in a short span of time. Due to the above stated reasons, we need an efficient and fast automatic feature extraction algorithm for better observing and organization of the resources of Earth. This paper is a study of different technique to extract urban built-up, land/vegetation a

APA, Harvard, Vancouver, ISO, and other styles

5

Ye, Fanghong, Tinghua Ai, Jiaming Wang, Yuan Yao, and Zheng Zhou. "A Method for Classifying Complex Features in Urban Areas Using Video Satellite Remote Sensing Data." Remote Sensing 14, no. 10 (2022): 2324. http://dx.doi.org/10.3390/rs14102324.

Full text

Abstract:

The classification of optical satellite-derived remote sensing images is an important satellite remote sensing application. Due to the wide variety of artificial features and complex ground situations in urban areas, the classification of complex urban features has always been a focus of and challenge in the field of remote sensing image classification. Given the limited information that can be obtained from traditional optical satellite-derived remote sensing data of a classification area, it is difficult to classify artificial features in detail at the pixel level. With the development of te

APA, Harvard, Vancouver, ISO, and other styles

6

Orlov, P. Yu, M. A. Boyarchuk, I. G. Zhurkin, and V. V. Nekrasov. "Development of geo-information technique and experimental studies on cross-calibration of Kanopus-V spacecraft series’ RSE sensors." Geodesy and Cartography 966, no. 12 (2021): 31–42. http://dx.doi.org/10.22389/0016-7126-2020-966-12-31-42.

Full text

Abstract:

Cross-calibration of the Earth’s remote sensing payload is an addition to the traditionally used flight calibration. It consists of homogeneous terrain regions` image acquiring with a calibrated and reference apparatus and comparing the measured values of the spectral radiance. When selecting references for cross-calibration, the main requirements are the proximity of the spatial resolution and spectral channels of the satellite payload, as well as the observation conditions. Remote sensing spacecrafts Sentinel-2A / 2B and Landsat 8 were selected asreferences. An algorithm was developed to sea

APA, Harvard, Vancouver, ISO, and other styles

7

Rahman, Mohammad Mukhlesur, Mohammad Amirul Islam, Md Golam Mahboob, Nur Mohammad, and Istiak Ahmed. "FORECASTING OF POTATO YIELD ESTIMATION BY SATELLITE BASED REMOTE SENSING TECHNIQUE." Acta Informatica Malaysia 8, no. 2 (2024): 49–55. https://doi.org/10.26480/aim.02.2024.49.55.

Full text

Abstract:

The goal of this research was to provide an operational technique with adequate technological components for monitoring and forecasting potato yield in Bangladesh. In the farmers’ fields of Shibganj upazila, the developed system investigates the combined use of satellite remote sensing (RS) and Geographic Information System (GIS) technology. The goal of the study was to construct a remotely sensed yield prediction model that used the high spatial resolution of Sentinel 2A and Landsat 8 satellite images to forecast potato yield one month ahead of harvest. Sentinel 2A (MSI) and Landsat 8 (OLI) s

APA, Harvard, Vancouver, ISO, and other styles

8

Hutapea, Destri Yanti, and Octaviani Hutapea. "WATERMARKING METHOD OF REMOTE SENSING DATA USING STEGANOGRAPHY TECHNIQUE BASED ON LEAST SIGNIFICANT BIT HIDING." International Journal of Remote Sensing and Earth Sciences (IJReSES) 15, no. 1 (2018): 63. http://dx.doi.org/10.30536/j.ijreses.2018.v15.a2824.

Full text

Abstract:

Remote sensing satellite imagery is currently needed to support the needs of information in various fields. Distribution of remote sensing data to users is done through electronic media. Therefore, it is necessary to make security and identity on remote sensing satellite images so that its function is not misused. This paper describes a method of adding confidential information to medium resolution remote sensing satellite images to identify the image using steganography technique. Steganography with the Least Significant Bit (LSB) method is chosen because the insertion of confidential informa

APA, Harvard, Vancouver, ISO, and other styles

9

Udupi, Sachidananda K., H. C. Hemamalini, Vaibhav R. Chittora, D. K. Prabhuraj, and Siddanagouda Somanagouda Patil. "EFFICIENT SCHEMES OF CLASSIFIERS FOR REMOTE SENSING SATELLITE IMAGERIES OF LAND USE PATTERN CLASSIFICATIONS." Mercator 23, no. 2024 (2024): 1–10. http://dx.doi.org/10.4215/rm2024.e23004.

Full text

Abstract:

Land use pattern classification of remote sensing imagery data is imperative to research that is used in remote sensing applications. Remote sensing (RS) technologies were exploited to mine some of the significant spatially variable factors, such as land cover and land use (LCLU), from satellite images of remote arid areas in Karnataka, India. Four diverse classification techniques unsupervised, and supervised (Maximum likelihood, Mahalnobis Distance, and Minimum Distance) are applied in Bellary district in Karnataka, India for the classification of the raw satellite images. The developed maps

APA, Harvard, Vancouver, ISO, and other styles

10

Emetere, M. E. "Modified satellite remote sensing technique for hydrocarbon deposit detection." Journal of Petroleum Science and Engineering 181 (October 2019): 106228. http://dx.doi.org/10.1016/j.petrol.2019.106228.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

An, Jintao, Tsz Ming Lu, Junhua Ma, and Tian Qiu. "Study on Regulation of Urban Heat Island Effect through Remote Sensing." Highlights in Science, Engineering and Technology 69 (November 6, 2023): 374–80. http://dx.doi.org/10.54097/hset.v69i.12138.

Full text

Abstract:

Globally, the heat island effect is a major environmental problem that has a considerable impact on metropolitan climate, energy use, urban planning, and human health. So controlling the urban heat island effect is essential. The satellite remote sensing technology plays an essential role in observing and studying the urban heat island effect, providing critical scientific and technological support for its regulation. This article examines the fundamentals of regulating the urban heat island effect as well as the crucial function of remote sensing satellites. A summary of the advantages of usi

APA, Harvard, Vancouver, ISO, and other styles

12

Bogireddy, Gari Sairekha. "An improved technique for enhancement of satellite image." i-manager’s Journal on Image Processing 11, no. 2 (2024): 10. http://dx.doi.org/10.26634/jip.11.2.20816.

Full text

Abstract:

In the age of artificial intelligence, remote sensing and especially satellite imagery are gaining widespread interest among the computer science community in their efforts to enable machines to recognize their environment through satellite image classification. Imaging satellites provide images of Earth that are collected, analyzed, and processed for both civil and military purposes. Satellite images are an important source of data, captured by artificial satellites orbiting the Earth. These images are susceptible to noise and irregular illumination, which can affect their quality. This paper

APA, Harvard, Vancouver, ISO, and other styles

13

Kulo, Nedim. "Different Methods for Remote Sensing Data Integration." Geodetski glasnik, no. 49 (December 31, 2018): 55–76. http://dx.doi.org/10.58817/2233-1786.2018.52.49.55.

Full text

Abstract:

Nowadays remote sensing is an indispensable source of information about Earth's surface, primarily satellite-based remote sensing systems. Traditionally, the analysis of data collected from a particular area was based on the analysis of the data of one satellite image. The technological revolution improved spatial, temporal and radiometric resolution of satellite images, which allowed time datasets analysis, combining (integrating) data from various sensors, combining images of different scales and better integration with existing data and models. The integration of data from different sources

APA, Harvard, Vancouver, ISO, and other styles

14

Hu, Changmiao, and Ping Tang. "Rapid dehazing algorithm based on large-scale median filtering for high-resolution visible near-infrared remote sensing images." International Journal of Wavelets, Multiresolution and Information Processing 12, no. 05 (2014): 1461010. http://dx.doi.org/10.1142/s0219691314610104.

Full text

Abstract:

In recent years, China's demand for satellite remote sensing images increased. Thus, the country launched a series of satellites equipped with high-resolution sensors. The resolutions of these satellites range from 30 m to a few meters, and the spectral range covers the visible to the near-infrared band. These satellite images are mainly used for environmental monitoring, mapping, land surface classification and other fields. However, haze is an important factor that often affects image quality. Thus, dehazing technology is becoming a critical step in high-resolution remote sensing image proce

APA, Harvard, Vancouver, ISO, and other styles

15

Gottapu Santosh Kumar, Et al. "An Overview of Deep Learning Networks for Remote Sensing Applications." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 1509–12. http://dx.doi.org/10.17762/ijritcc.v11i10.8701.

Full text

Abstract:

To study and understand the world around us, remote sensing specialists rely on aerial and satellite photographs. Today, deep learning models necessitating extensive data or specialised data are employed in many remote sensing applications. Sometimes, the spatial and spectral resolution of Observation satellites of the planet earth will fall short of requirements due to technological constraints in optics and sensors, as well as the expensive expense of upgrading sensors and equipment. Insufficient information might reduce a model's efficiency. The efficiency of deep learning frameworks that r

APA, Harvard, Vancouver, ISO, and other styles

16

Liu, Jian, and Sheng Feng Zhu. "Primary Studies on the Offshore Oil Spill Detection System Using the Satellite Remote Sensing Technology Developed by China National Offshore Oil Corporation." Applied Mechanics and Materials 316-317 (April 2013): 580–85. http://dx.doi.org/10.4028/www.scientific.net/amm.316-317.580.

Full text

Abstract:

Oil spill detection has important significance for the oceanic environmental protection. With the rapid development of the satellite remote sensing, remote sensing technique has become one of the important and effective tools in oil spill detection. This paper discussed the method of the offshore surface oil spill detection using Synthetic Aperture Radar (SAR). The oil spill detection systems used at home and abroad is evaluated. Finally, the feasibility of the oil spill detection system based on the satellite remote sensing developed by China National Offshore Oil Corporation is studied.

APA, Harvard, Vancouver, ISO, and other styles

17

Dong, L., S. Lyu, L. Wang, and X. Gao. "RESEARCH ON COOPERATION STRATEGY BASED ON SATELLITE REMOTE SENSING DATA SERVICE AND TECHNOLOGY APPLICATION BETWEEN CHINA AND ASEAN." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 1373–78. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1373-2023.

Full text

Abstract:

Abstract. Remote sensing (RS) and earth observing technology are flourished with the development of a series of high-resolution earthobservation satellites. As the improvement of China’s earth observation data acquisition capability, one critical issue is put on the agenda that is what kind of models and techniques can promote the future data processing into a new level in terms of service model, massive data processing, development methods, business models, resource sharing, and system sustainability (1). In order to embed domestic satellite advantages into global world and provide increasing

APA, Harvard, Vancouver, ISO, and other styles

18

Palani, Murugan, Lakshmi Gomathi, and Kumar Gautam Vivek. "High Resolution Optical Remote Sensing Satellites - Challenges and Techniques." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 495–502. https://doi.org/10.35940/ijeat.E9670.069520.

Full text

Abstract:

High spatial resolution satellite data is essential to identify small objects and extract minute details of the terrain. This data is provided by many satellites and being used in numerous applications. The realization of high resolution satellite is a challenging task. Significant complexity lies in the realization of high spatial resolution camera starting from material selection, high stiffness-low mass opto-mechanical system design, detector selection to high speed camera electronics design. The mass and size of camera increase with the improvement in spatial resolution. Alternate methods

APA, Harvard, Vancouver, ISO, and other styles

19

Andrés-Anaya, Paula, Adolfo Molada-Tebar, David Hernández-López, Miguel Ángel Moreno, Diego González-Aguilera, and Mónica Herrero-Huerta. "Radiometric Improvement of Spectral Indices Using Multispectral Lightweight Sensors Onboard UAVs." Drones 8, no. 2 (2024): 36. http://dx.doi.org/10.3390/drones8020036.

Full text

Abstract:

Close-range remote sensing techniques employing multispectral sensors on unoccupied aerial vehicles (UAVs) offer both advantages and drawbacks in comparison to traditional remote sensing using satellite-mounted sensors. Close-range remote sensing techniques have been increasingly used in the field of precision agriculture. Planning the flight, including optimal flight altitudes, can enhance both geometric and temporal resolution, facilitating on-demand flights and the selection of the most suitable time of day for various applications. However, the main drawbacks stem from the lower quality of

APA, Harvard, Vancouver, ISO, and other styles

20

Roy, P. S., M. D. Behera, and S. K. Srivastav. "Satellite Remote Sensing: Sensors, Applications and Techniques." Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 87, no. 4 (2017): 465–72. http://dx.doi.org/10.1007/s40010-017-0428-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Wagh, Santosh, and Vivek Manekar. "Assessment of Reservoir Sedimentation using Satellite Remote Sensing Technique (SRS)." Journal of The Institution of Engineers (India): Series A 102, no. 3 (2021): 851–60. http://dx.doi.org/10.1007/s40030-021-00539-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Fraser, A., P. Huggins, J. Rees, and P. Cleverly. "A satellite remote sensing technique for geological structure horizon mapping." International Journal of Remote Sensing 18, no. 7 (1997): 1607–15. http://dx.doi.org/10.1080/014311697218313.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Roohi, Mohammad. "Enhancing the Quality of Satellite Images for Estimating the Water Body." JSM Environmental Science and Ecology 12, no. 1 (2024): 1–9. http://dx.doi.org/10.47739/2333-7141.environmentalscience.1088.

Full text

Abstract:

Abstract Water resources are indeed limited, and factors such as drought, climate change, and human activities can contribute to their decrease. To estimate the amount of water stored in a dam lake, several methods can be employed. Remote sensing techniques, such as satellite imagery can be used to estimate the water surface area of the reservoir. In this study, the amount of water cover changes is investigated using a remote sensing technique. Also, to increase the level of accuracy in estimating the water cover of the dam lake, the technique of Image Fusion Landsat-8 satellites images and in

APA, Harvard, Vancouver, ISO, and other styles

24

Tang, Qiuhong, Huilin Gao, Hui Lu, and Dennis P. Lettenmaier. "Remote sensing: hydrology." Progress in Physical Geography: Earth and Environment 33, no. 4 (2009): 490–509. http://dx.doi.org/10.1177/0309133309346650.

Full text

Abstract:

Satellite remote sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using remote sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestr

APA, Harvard, Vancouver, ISO, and other styles

25

Luo, Xin, Maocai Wang, Guangming Dai, and Xiaoyu Chen. "A Novel Technique to Compute the Revisit Time of Satellites and Its Application in Remote Sensing Satellite Optimization Design." International Journal of Aerospace Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/6469439.

Full text

Abstract:

This paper proposes a novel technique to compute the revisit time of satellites within repeat ground tracks. Different from the repeat cycle which only depends on the orbit, the revisit time is relevant to the payload of the satellite as well, such as the tilt angle and swath width. The technique is discussed using the Bezout equation and takes the gravitational second zonal harmonic into consideration. The concept of subcycles is defined in a general way and the general concept of “small” offset is replaced by a multiple of the minimum interval on equator when analyzing the revisit time of re

APA, Harvard, Vancouver, ISO, and other styles

26

Murugan, Palani, Vivek Kumar Gautam, and V. Ramanathan. "Performance evaluation of super resolution algorithms in generating high resolution images using MSE and PSNR." International Journal of Engineering and Computer Science 10, no. 02 (2021): 25284–91. http://dx.doi.org/10.18535/ijecs/v10i02.4560.

Full text

Abstract:

In recent days, requirement of high spatial resolution remote sensing data in various fields has increased tremendously. High resolution satellite remote sensing data is obtained with long focal length optical systems and low altitude. As fabrication of high-resolution optical system and accommodating on the satellite is a challenging task, various alternate methods are being explored to get high resolution imageries. Alternately the high-resolution data can be obtained from super resolution techniques. The super resolution technique uses single or multiple low-resolution mis-registered data s

APA, Harvard, Vancouver, ISO, and other styles

27

Scheibenreif, L., M. Mommert, and D. Borth. "CONTRASTIVE SELF-SUPERVISED DATA FUSION FOR SATELLITE IMAGERY." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 705–11. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-705-2022.

Full text

Abstract:

Abstract. Self-supervised learning has great potential for the remote sensing domain, where unlabelled observations are abundant, but labels are hard to obtain. This work leverages unlabelled multi-modal remote sensing data for augmentation-free contrastive self-supervised learning. Deep neural network models are trained to maximize the similarity of latent representations obtained with different sensing techniques from the same location, while distinguishing them from other locations. We showcase this idea with two self-supervised data fusion methods and compare against standard supervised an

APA, Harvard, Vancouver, ISO, and other styles

28

Lodwick, G. D., and S. H. Paine. "SATELLITE REMOTE SENSING IN SURVEYING PRESENT OPPORTUNITIES, FUTURE POSSIBILITIES." Canadian Surveyor 40, no. 3 (1986): 315–26. http://dx.doi.org/10.1139/tcs-1986-0025.

Full text

Abstract:

Of all the areas of the earth sciences affected by satellite remote sensing, the surveying profession has been one of the last to take advantage of its unique features. This is due in part to: resolution limitations of Landsat 1, 2 and 3, difficulties in registration and positioning of the imagery, technical constraints in handling vast quantities of digital data, and the excellent methods currently available for the production of cartographic products. Nevertheless, satellite remote sensing has now emerged as a complementary procedure to many existing techniques utilized in surveying and mapp

APA, Harvard, Vancouver, ISO, and other styles

29

Zhang, F., Z. Zhang, L. Yan, et al. "ADVANCES IN OPTICAL POLARIZATION REMOTE SENSING FOR MARINE OBSERVATION: A CASE STUDY IN NANCHANG RIVER PARK." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 101–6. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-101-2022.

Full text

Abstract:

Abstract. Marine observation is a worldwide challenge, which implicates for a large number of social, economic and scientific problems. Satellite remote sensing provides incredible convenience for marine observation, and remote sensing techniques with different wavelength range have been developed for scientific use related to oceanography, among of which optical polarization remote sensing is a rapidly growing field in the recent decade. Although some attempts have been made about utilizing optical polarization technique for marine observation, the potential of optical polarization remote sen

APA, Harvard, Vancouver, ISO, and other styles

30

Mohamed Ali, Abbas Sayed Ahmed, and Ahmed Abu Al Qasim Al Hassan. "Remote Sensing and Its Uses in Archeology." Journal of Arts and Social Sciences [JASS] 2, no. 1 (2011): 5. http://dx.doi.org/10.24200/jass.vol2iss1pp5-25.

Full text

Abstract:

Aerial photography, remote sensing technique has been used as a tool for acquisition of archaeological information for several decades. At the turn of the twentieth century, archaeologists realized that valuable archaeological data could be extracted from aerial photos, thus it has been developed into a systematic discipline known as aerial archaeology. Though aerial photography has a long history of use, Satellite remote sensing is a recent discipline applied in detection, mapping and analysis of archaeological matter, providing that the spatial resolution of the sensor is adequate to detect

APA, Harvard, Vancouver, ISO, and other styles

31

Mohamed Ali, Abbas Sayed Ahmed, and Ahmed Abu Al Qasim Al Hassan. "Remote Sensing and Its Uses in Archeology." Journal of Arts and Social Sciences [JASS] 2, no. 1 (2011): 5–25. http://dx.doi.org/10.53542/jass.v2i1.1032.

Full text

Abstract:

Aerial photography, remote sensing technique has been used as a tool for acquisition of archaeological information for several decades. At the turn of the twentieth century, archaeologists realized that valuable archaeological data could be extracted from aerial photos, thus it has been developed into a systematic discipline known as aerial archaeology. Though aerial photography has a long history of use, Satellite remote sensing is a recent discipline applied in detection, mapping and analysis of archaeological matter, providing that the spatial resolution of the sensor is adequate to detect

APA, Harvard, Vancouver, ISO, and other styles

32

Pershin, Sergey M., Boris G. Katsnelson, Mikhail Ya Grishin, Vasily N. Lednev, Vladimir A. Zavozin, and Ilia Ostrovsky. "Laser Remote Sensing of Lake Kinneret by Compact Fluorescence LiDAR." Sensors 22, no. 19 (2022): 7307. http://dx.doi.org/10.3390/s22197307.

Full text

Abstract:

Harmful algal blooms in freshwater reservoirs became a steady phenomenon in recent decades, so instruments for monitoring water quality in real time are of high importance. Modern satellite remote sensing is a powerful technique for mapping large areas but cannot provide depth-resolved data on algal concentrations. As an alternative to satellite techniques, laser remote sensing is a perspective technique for depth-resolved studies of fresh or seawater. Recent progress in lasers and electronics makes it possible to construct compact and lightweight LiDARs (Light Detection and Ranging) that can

APA, Harvard, Vancouver, ISO, and other styles

33

Anand, Sakshi, and Rakesh Sharma. "Pansharpening and spatiotemporal image fusion method for remote sensing." Engineering Research Express 6, no. 2 (2024): 022201. http://dx.doi.org/10.1088/2631-8695/ad3a34.

Full text

Abstract:

Abstract In last decades, remote sensing technology has rapidly progressed, leading to the development of numerous earth satellites such as Landsat 7, QuickBird, SPOT, Sentinel-2, and IKONOS. These satellites provide multispectral images with a lower spatial resolution and panchromatic images with a higher spatial resolution. However, satellite sensors are unable to capture images with high spatial and spectral resolutions simultaneously due to storage and bandwidth constraints, among other things. Image fusion in remote sensing has emerged as a powerful tool for improving image quality and in

APA, Harvard, Vancouver, ISO, and other styles

34

Manikiam, Balakrishnan. "Applications of IRS and INSAT Data with Specific Case Studies." Mapana - Journal of Sciences 13, no. 1 (2017): 85–99. http://dx.doi.org/10.12723/mjs.28.6.

Full text

Abstract:

Indian satellite programme has over the past three decades achieved operational capability in the area of remote sensing. The Indian Remote Sensing (IRS) satellites are developed towards providing data for natural resources survey and management. Techniques have been developed to retrieve several parameters related to land, ocean and atmosphere. Since the launch of IRS 1A in early 80’s, the technology has improved to achieve satellite imagery with resolution of 1 meter. The Indian National satellite (INSAT) system is made up of geostationary satellites towards monitoring and study of weather o

APA, Harvard, Vancouver, ISO, and other styles

35

Xiang, Jiahao, Yujie Xie, and Siyu Zhou. "The Application of Remote Sensing-Based Technology in The Field of Tea Identification and Distribution." Transactions on Environment, Energy and Earth Sciences 3 (November 26, 2024): 239–45. https://doi.org/10.62051/rybj6393.

Full text

Abstract:

As a significant economic crop cultivated and consumed globally, the yield and quality of tea are directly correlated with the stability and growth of the international tea market. The application of remote sensing technology enables the precise monitoring of tea plant growth, the real-time assessment of soil moisture and nutrient distribution, and the identification of pests and diseases. This technology facilitates the implementation of scientific management practices, thereby enhancing the yield and quality of tea. This paper begins by providing an overview of the remote sensing data source

APA, Harvard, Vancouver, ISO, and other styles

36

Chen, Yizhou. "Application Of Spatio-Temporal Remote Sensing Data Analysis in Fire Monitoring." Transactions on Environment, Energy and Earth Sciences 3 (November 26, 2024): 26–31. https://doi.org/10.62051/14b9fc20.

Full text

Abstract:

This paper investigates the application of spatio-temporal remote sensing data analysis in fire monitoring, aiming to cope with the increase in the frequency of forest fires and its threat to the ecological environment and human security due to global warming and increased human activities. The study describes the application of various remote sensing techniques in fire monitoring, including Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data, infrared remote sensing, satellite hyperspectral data, and SAR techniques. The application of remote sensing data in actual fire monito

APA, Harvard, Vancouver, ISO, and other styles

37

He, Yan, Kebin Jia, and Zhihao Wei. "Improvements in Forest Segmentation Accuracy Using a New Deep Learning Architecture and Data Augmentation Technique." Remote Sensing 15, no. 9 (2023): 2412. http://dx.doi.org/10.3390/rs15092412.

Full text

Abstract:

Forests are critical to mitigating global climate change and regulating climate through their role in the global carbon and water cycles. Accurate monitoring of forest cover is, therefore, essential. Image segmentation networks based on convolutional neural networks have shown significant advantages in remote sensing image analysis with the development of deep learning. However, deep learning networks typically require a large amount of manual ground truth labels for training, and existing widely used image segmentation networks struggle to extract details from large-scale high resolution sate

APA, Harvard, Vancouver, ISO, and other styles

38

Xie, Songlin, Lei Zhang, Gwanggil Jeon, and Xiaomin Yang. "Remote Sensing Neural Radiance Fields for Multi-View Satellite Photogrammetry." Remote Sensing 15, no. 15 (2023): 3808. http://dx.doi.org/10.3390/rs15153808.

Full text

Abstract:

Neural radiance fields (NeRFs) combining machine learning with differentiable rendering have arisen as one of the most promising approaches for novel view synthesis and depth estimates. However, NeRFs only applies to close-range static imagery and it takes several hours to train the model. The satellites are hundreds of kilometers from the earth. Satellite multi-view images are usually captured over several years, and the scene of images is dynamic in the wild. Therefore, multi-view satellite photogrammetry is far beyond the capabilities of NeRFs. In this paper, we present a new method for mul

APA, Harvard, Vancouver, ISO, and other styles

39

Deng, Yi, Chengyue Xing, and Ling Cai. "Building Image Feature Extraction Using Data Mining Technology." Computational Intelligence and Neuroscience 2022 (April 13, 2022): 1–12. http://dx.doi.org/10.1155/2022/8006437.

Full text

Abstract:

At present, data mining technology is continuously researched in science and application. With the rapid development of remote sensing satellite industry, especially the launch of remote sensing satellites with high-resolution sensors, the amount of information obtained from remote sensing images has increased dramatically, which has largely promoted the application of remote sensing data in various industries. This technique mines useable information from less complete and accurate data while ensuring low program complexity. In order to determine the impact of data mining techniques on featur

APA, Harvard, Vancouver, ISO, and other styles

40

Musali, Suresh Kumar, Rajeshwari Janthakal, and Nuvvusetty Rajasekhar. "Deep learning techniques for satellite image classification." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 3 (2025): 1712. https://doi.org/10.11591/ijeecs.v37.i3.pp1712-1725.

Full text

Abstract:

Because of its wide range of uses in computer vision applications, including image retrieval, remote sensing, object recognition, scene analysis, and surveillance, image classification has attracted a lot of attention. Assigning appropriate class labels to images according to their contents is the primary objective of image classification. In the domain of remote sensing, image classification and analysis play crucial roles in both military and civil applications. Conventional methods for scene analysis and remote sensing depended on low-level representations of features, such as those of colo

APA, Harvard, Vancouver, ISO, and other styles

41

Suresh, Kumar Musali Rajeshwari Janthakal Nuvvusetty Rajasekhar. "Deep learning techniques for satellite image classification." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 3 (2025): 1712–25. https://doi.org/10.11591/ijeecs.v37.i3.pp1712-1725.

Full text

Abstract:

Because of its wide range of uses in computer vision applications, including image retrieval, remote sensing, object recognition, scene analysis, and surveillance, image classification has attracted a lot of attention. Assigning appropriate class labels to images according to their contents is the primary objective of image classification. In the domain of remote sensing, image classification and analysis play crucial roles in both military and civil applications. Conventional methods for scene analysis and remote sensing depended on low-level representations of features, such as those of colo

APA, Harvard, Vancouver, ISO, and other styles

42

Poornima, E., Suryadevara Mohit, Kunduru Cheresh Reddy, Vallepu Hemchandra, Awadhesh Chandramauli, and Peram Kondal Rao. "Deep Generative Models for Automated Dehazing Remote Sensing Satellite Images." E3S Web of Conferences 430 (2023): 01024. http://dx.doi.org/10.1051/e3sconf/202343001024.

Full text

Abstract:

Remote Sensing (RS) is the process of observing and measuring the physical features of an area from a distance by monitoring its reflected and emitted radiation, usually from a satellite or aircraft. The application of RS spans a wide range of fields, including precision agriculture, disaster management, military operations, environmental monitoring, and weather assessment, among others. Haze or pollution in the satellite images, makes satellite images unsightly and makes valuable information useless. Sometimes satellites must capture images in haze-filled atmospheres, rendering them unusable

APA, Harvard, Vancouver, ISO, and other styles

43

Zhao, Hang, Yamin Zhang, Qiangqiang Jiang, Xiaofeng Wei, Shizhong Li, and Bo Chen. "Software-Defined Satellite Observation: A Fast Method Based on Virtual Resource Pools." Remote Sensing 15, no. 22 (2023): 5388. http://dx.doi.org/10.3390/rs15225388.

Full text

Abstract:

In recent years, the proliferation of remote sensing satellites has dramatically increased the demands of Earth observation and observing efficiency. Designing a promising satellite resource scheduling method is a pivotal way to meet the requirements of this scenario. However, with hundreds or more satellites involved, the existing optimization methods struggle to address the NP-hard resource scheduling problem effectively. In this paper, an approach named software-defined satellite observation (SDSO) is proposed. First, adopting the new design ideology, we define a unified specification based

APA, Harvard, Vancouver, ISO, and other styles

44

Bareth, G., and C. Hütt. "UPSCALING AND VALIDATION OF RTK-DIRECT GEOREFERENCED UAV-BASED RGB IMAGE DATA WITH PLANET IMAGERY USING POLYGON GRIDS FOR PASTURE MONITORING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 29, 2021): 533–38. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-533-2021.

Full text

Abstract:

Abstract. The monitoring of managed grasslands with remote sensing methods is becoming more important for spatial decision support. Various remote sensing data acquisition techniques are applied for that purpose in different spatial resolutions ranging from UAV-borne to satellite-based remote sensing. In the last decade, UAV-borne imaging and analysis techniques or in the focus of crop and grassland monitoring and provide very high spatial resolutions. In contrast, satellite data are only available in high to moderate spatial resolutions. In this contribution, we introduce direct georeferenced

APA, Harvard, Vancouver, ISO, and other styles

45

Kabir, Sakib, Larry Leigh, and Dennis Helder. "Vicarious Methodologies to Assess and Improve the Quality of the Optical Remote Sensing Images: A Critical Review." Remote Sensing 12, no. 24 (2020): 4029. http://dx.doi.org/10.3390/rs12244029.

Full text

Abstract:

Over the past decade, number of optical Earth-observing satellites performing remote sensing has increased substantially, dramatically increasing the capability to monitor the Earth. The quantity of remote sensing satellite increase is primarily driven by improved technology, miniaturization of components, reduced manufacturing, and launch cost. These satellites often lack on-board calibrators that a large satellite utilizes to ensure high quality (radiometric, geometric, spatial quality, etc.) scientific measurement. To address this issue, this work presents “best” vicarious image quality ass

APA, Harvard, Vancouver, ISO, and other styles

46

Gerner, Martin, and Marion Pause. "Advancing Learning Assignments in Remote Sensing of the Environment Through Simulation Games." Remote Sensing 12, no. 4 (2020): 735. http://dx.doi.org/10.3390/rs12040735.

Full text

Abstract:

Environmental remote sensing has faced increasing satellite data availability, advanced algorithms for thematic analysis, and novel concepts of ground truth. For that reason, contents and concepts of learning and teaching remote sensing are constantly evolving. This eventually leads to the intuition of methodologically linking academic learning assignments with case-related scopes of application. In order to render case-related learning possible, smart teaching and interactive learning contexts are appreciated and required for remote sensing. That is due to the fact that those contexts are con

APA, Harvard, Vancouver, ISO, and other styles

47

Dahu, Butros M., Khuder Alaboud, Avis Anya Nowbuth, Hunter M. Puckett, Grant J. Scott, and Lincoln R. Sheets. "The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review." International Journal of Environmental Research and Public Health 20, no. 5 (2023): 4298. http://dx.doi.org/10.3390/ijerph20054298.

Full text

Abstract:

Remote sensing (RS), satellite imaging (SI), and geospatial analysis have established themselves as extremely useful and very diverse domains for research associated with space, spatio-temporal components, and geography. We evaluated in this review the existing evidence on the application of those geospatial techniques, tools, and methods in the coronavirus pandemic. We reviewed and retrieved nine research studies that directly used geospatial techniques, remote sensing, or satellite imaging as part of their research analysis. Articles included studies from Europe, Somalia, the USA, Indonesia,

APA, Harvard, Vancouver, ISO, and other styles

48

Japitana, M. V., and M. E. C. Burce. "A Satellite-based Remote Sensing Technique for Surface Water Quality Estimation." Engineering, Technology & Applied Science Research 9, no. 2 (2019): 3965–70. http://dx.doi.org/10.48084/etasr.2664.

Full text

Abstract:

Remote sensing provides a synoptic view of the earth surface that can provide spatial and temporal trends necessary for comprehensive water quality (WQ) monitoring and assessment. This study explores the applicability of Landsat 8 and regression analysis in developing models for estimating WQ parameters such as pH, dissolved oxygen (DO), total dissolved solids (TDS), total suspended solids (TSS), biological oxygen demand (BOD), turbidity, and conductivity. The input image was radiometrically-calibrated using fast line-of-sight atmospheric analysis (FLAASH) and then atmospherically corrected to

APA, Harvard, Vancouver, ISO, and other styles

49

Japitana, M. V., and M. E. C. Burce. "A Satellite-based Remote Sensing Technique for Surface Water Quality Estimation." Engineering, Technology & Applied Science Research 9, no. 2 (2019): 3965–70. https://doi.org/10.5281/zenodo.2647815.

Full text

Abstract:

Remote sensing provides a synoptic view of the earth surface that can provide spatial and temporal trends necessary for comprehensive water quality (WQ) monitoring and assessment. This study explores the applicability of Landsat 8 and regression analysis in developing models for estimating WQ parameters such as pH, dissolved oxygen (DO), total dissolved solids (TDS), total suspended solids (TSS), biological oxygen demand (BOD), turbidity, and conductivity. The input image was radiometrically-calibrated using fast line-of-sight atmospheric analysis (FLAASH) and then atmospherically corrected to

APA, Harvard, Vancouver, ISO, and other styles

50

Pujianiki, Ni Nyoman, and Komang Gede Putra Airlangga. "Analysis of Bathymetry Accuracy Using Sentinel 2 Satellite on Different Characteristics Waters in Bali Island." International Journal on Advanced Science, Engineering and Information Technology 14, no. 4 (2024): 1363–72. http://dx.doi.org/10.18517/ijaseit.14.4.19934.

Full text

Abstract:

Bathymetry surveys today are often carried out using the echo-sounding method, but this method has disadvantages, such as requiring a lot of time and being quite expensive. Along with the development of technology, some alternative methods can be used to visualize bathymetry, such as remote sensing. Remote Sensing uses satellite imagery in the operation, while the technique to acquire bathymetry is called Satellite-Derived Bathymetry (SDB). This method uses an optical satellite with several color bands or multispectral images. In this research, a satellite used to map ocean depth is Sentinel-2

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!