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Journal articles on the topic 'Image irradiance'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Elhabian, Shireen Y., and Aly A. Farag. "Image irradiance harmonics: a phenomenological model of image irradiance of arbitrary surface reflectance." IET Computer Vision 8, no. 5 (2014): 365–81. http://dx.doi.org/10.1049/iet-cvi.2013.0116.

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Xu, Chao Qun, Jie Jiang, Zhi Yuan Ouyang, and Chuang He Qiu. "Characterization of a Smartphone’s CMOS Image Sensor Response to Radiation." Applied Mechanics and Materials 742 (March 2015): 17–20. http://dx.doi.org/10.4028/www.scientific.net/amm.742.17.

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As part of studies into the use of Smartphones as solar-radiation monitors, this article characterizes the violet response of a consumer complementary metal oxide semiconductor (CMOS)-based Smartphone image sensor in a controlled laboratory environment, with an adjustable Lamp as a radiation source, a band-pass filter (central wavelength is 400nm) covered on Smartphone camera lens and a ASD spectrometer observing synchronously. It is found that a logarithmic relationship appears between CMOS-based sensor imaging DN values and irradiance, and the red (R) component in the chromo-photograph is li

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Petrov, A. P., and G. N. Antonova. "Resolving the color-image irradiance equation." Color Research & Application 21, no. 2 (1996): 97–103. http://dx.doi.org/10.1002/(sici)1520-6378(199604)21:2<97::aid-col3>3.0.co;2-#.

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Lyu, Zheng, Krithin Kripakaran, Max Furth, Eric Tang, Brian Wandell, and Joyce Farrell. "Validation of image systems simulation technology using a Cornell Box." Electronic Imaging 2021, no. 7 (2021): 122–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.7.iss-122.

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We describe and experimentally validate an end-to-end simulation of a digital camera. The simulation models the spectral radiance of 3D-scenes, formation of the spectral irradiance by multi-element optics, and conversion of the irradiance to digital values by the image sensor. We quantify the accuracy of the simulation by comparing real and simulated images of a precisely constructed, three-dimensional high dynamic range test scene. Validated end-to-end software simulation of a digital camera can accelerate innovation by reducing many of the time-consuming and expensive steps in designing, bui

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Price, Steven F., Marc L. Schuette, and Elizabeth Tassie. "Measuring Incident Light on Grape Clusters Using Photosensitive Paper and Image Analysis." Journal of the American Society for Horticultural Science 120, no. 2 (1995): 235–40. http://dx.doi.org/10.21273/jashs.120.2.235.

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Digital imaging and analysis was used to quantify and characterize the light exposure patterns of photosensitive paper tubes placed in representative cluster positions in two grape (Vitis vinifera L.) canopies: a minimally pruned and a vertically trained canopy. Blue pixel values of the captured images had a negative correlation with the log of irradiance from an integrating quantum sensor (r2 = 0.9308). The spectral response of the photosensitive paper was not measured. Histograms of incident light distribution on individual paper tubes were developed using imaging software. Histograms were a

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Shen, L., and Y. Zhao. "UNDERWATER IMAGE ENHANCEMENT BASED ON POLARIZATION IMAGING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 579–85. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-579-2020.

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Abstract. The need of high-quality underwater imaging is obviously required in many underwater applications. For example, underwater archaeology, underwater ecological research, underwater object detection and tracking. This paper presents a joint enhancing and denoising scheme for an image taken in underwater conditions. Conventional image enhancing methods may amplify the noise depending on the distance and density of the particles in the water. To suppress the noise and improve the enhancement performance, an imaging model is modified by adding the process of amplifying the noise in underwa

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Rajagukguk, Rial A., Raihan Kamil, and Hyun-Jin Lee. "A Deep Learning Model to Forecast Solar Irradiance Using a Sky Camera." Applied Sciences 11, no. 11 (2021): 5049. http://dx.doi.org/10.3390/app11115049.

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Solar irradiance fluctuates mainly due to clouds. A sky camera offers images with high temporal and spatial resolutions for a specific solar photovoltaic plant. The cloud cover from sky images is suitable for forecasting local fluctuations of solar irradiance and thereby solar power. Because no study applied deep learning for forecasting cloud cover using sky images, this study attempted to apply the long short-term memory algorithm in deep learning. Cloud cover data were collected by image processing of sky images and used for developing the deep learning model to forecast cloud cover 10 min

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Arnspang, Jens, and Jun Ma. "Image irradiance equations for a zooming camera." Pattern Recognition Letters 10, no. 3 (1989): 189–94. http://dx.doi.org/10.1016/0167-8655(89)90086-x.

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Chu, Yinghao, Hugo T. C. Pedro, Lukas Nonnenmacher, Rich H. Inman, Zhouyi Liao, and Carlos F. M. Coimbra. "A Smart Image-Based Cloud Detection System for Intrahour Solar Irradiance Forecasts." Journal of Atmospheric and Oceanic Technology 31, no. 9 (2014): 1995–2007. http://dx.doi.org/10.1175/jtech-d-13-00209.1.

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Abstract This study proposes an automatic smart adaptive cloud identification (SACI) system for sky imagery and solar irradiance forecast. The system is deployed using off-the-shelf fish-eye cameras that offer substantial advantages in terms of cost when compared to industry-standard sky imagers. SACI uses a smart image categorization (SIC) algorithm that combines the sky images and solar irradiance measurements to classify sky conditions into three categories: clear, overcast, and partly cloudy. A cloud detection scheme, optimized for each image category, is used to quantify cloud cover from

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Peng, Man, Kaichang Di, Yexin Wang, et al. "A Photogrammetric-Photometric Stereo Method for High-Resolution Lunar Topographic Mapping Using Yutu-2 Rover Images." Remote Sensing 13, no. 15 (2021): 2975. http://dx.doi.org/10.3390/rs13152975.

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Topographic products are important for mission operations and scientific research in lunar exploration. In a lunar rover mission, high-resolution digital elevation models are typically generated at waypoints by photogrammetry methods based on rover stereo images acquired by stereo cameras. In case stereo images are not available, the stereo-photogrammetric method will not be applicable. Alternatively, photometric stereo method can recover topographic information with pixel-level resolution from three or more images, which are acquired by one camera under the same viewing geometry with differen

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Shin, J., Y. Cho, H. Lee, et al. "AN OPTIMAL IMAGE SELECTION METHOD TO IMPROVE QUALITY OF RELATIVE RADIOMETRIC CALIBRATION FOR UAV MULTISPECTRAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 493–98. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-493-2020.

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Abstract. Radiometric calibration has become important pre-processing with increasing use of unmanned aerial vehicle (UAV) images in various applications. In order to convert the digital number (DN) to reflectance, vicarious radiometric calibration is widely used including relative radiometric calibration. Some UAV sensor systems can measure irradiance for precise relative radiometric calibration. However, most of UAV sensor systems cannot measure irradiance and therefore precise relative radiometric calibration is needed to produce reflectance map with vicarious calibration. In this study, an

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Yang, Hao, Long Wang, Chao Huang, and Xiong Luo. "3D-CNN-Based Sky Image Feature Extraction for Short-Term Global Horizontal Irradiance Forecasting." Water 13, no. 13 (2021): 1773. http://dx.doi.org/10.3390/w13131773.

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The instability and variability of solar irradiance induces great challenges for the management of photovoltaic water pumping systems. Accurate global horizontal irradiance (GHI) forecasting is a promising technique to solve this problem. To improve short-term GHI forecasting accuracy, ground-based sky image is valuable due to its correlation with solar generation. In previous studies, great efforts have been made to extract numerical features from sky image for data-driven solar irradiance forecasting methods, e.g., based on pixel-value color information, and based on the cloud motion detecti

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JIANG Deng-biao, 江登表, 李勃 LI Bo, and 陈启美 CHEN Qi-mei. "CCD irradiance calibration algorithm for HDR image acquisition." Optics and Precision Engineering 21, no. 11 (2013): 2980–88. http://dx.doi.org/10.3788/ope.20132111.2980.

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Arnspang, Jens. "Motion constraint equations based on constant image irradiance." Image and Vision Computing 11, no. 9 (1993): 577–87. http://dx.doi.org/10.1016/0262-8856(93)90023-a.

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Al-lahham, Anas, Obaidah Theeb, Khaled Elalem, Tariq A. Alshawi, and Saleh A. Alshebeili. "Sky Imager-Based Forecast of Solar Irradiance Using Machine Learning." Electronics 9, no. 10 (2020): 1700. http://dx.doi.org/10.3390/electronics9101700.

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Ahead-of-time forecasting of the output power of power plants is essential for the stability of the electricity grid and ensuring uninterrupted service. However, forecasting renewable energy sources is difficult due to the chaotic behavior of natural energy sources. This paper presents a new approach to estimate short-term solar irradiance from sky images. The proposed algorithm extracts features from sky images and use learning-based techniques to estimate the solar irradiance. The performance of proposed machine learning (ML) algorithm is evaluated using two publicly available datasets of sk

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Shin, Jung-Il, Yeong-Min Cho, Pyung-Chae Lim, et al. "Relative Radiometric Calibration Using Tie Points and Optimal Path Selection for UAV Images." Remote Sensing 12, no. 11 (2020): 1726. http://dx.doi.org/10.3390/rs12111726.

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As the use of unmanned aerial vehicle (UAV) images rapidly increases so does the need for precise radiometric calibration. For UAV images, relative radiometric calibration is required in addition to the traditional vicarious radiometric calibration due to the small field of view. For relative radiometric calibration, some UAVs install irradiance sensors, but most do not. For UAVs without them, an intelligent scheme for relative radiometric calibration must be applied. In this study, a relative radiometric calibration method is proposed to improve the quality of a reflectance map without irradi

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Aubé, Martin, Julien-Pierre Houle, Justine Desmarais, Nikki Veilleux, and Émie Bordeleau. "Modeling the Spectral Properties of Obtrusive Light Incident on a Window: Application to Montréal, Canada." Remote Sensing 13, no. 14 (2021): 2767. http://dx.doi.org/10.3390/rs13142767.

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This paper describes the use of a new obtrusive light module of the Illumina v2 model to estimate the light that may enter bedroom windows. We used the following as input to the model: (1) the sources’ flux and spectrum derived from the color images taken by astronauts from the International Space Station (ISS), (2) an association between source spectrum and angular emission, and (3) a per zone inventory of obstacles properties and lamp height. The model calculates the spectral irradiance incident to buildings’ windows taking into account the orientation of the street. By using the color infor

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Ban, S., and T. Kim. "AUTOMATED REFLECTANCE TARGET DETECTION FOR AUTOMATED VICARIOUS RADIOMETRIC CORRECTION OF UAV IMAGES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2021 (June 28, 2021): 133–37. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2021-133-2021.

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Abstract. Recently, with increasing use of unmanned aerial vehicle (UAV), radiometric calibration of UAV images has become an important pre-processing step for application such as vegetation mapping, crop field monitoring, etc. In order to obtain accurate spectral reflectance, some UAVs measure irradiance at the time of image acquisition. However, most of UAV systems do not have such irradiance sensors. In these cases, vicarious radiometric correction method has to be used. Digital numbers (DNs) of imaged ground reflectance targets are measured and spectral reflectance is acquired from with kn

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Suomalainen, Juha, Teemu Hakala, Raquel Alves de Oliveira, et al. "A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles." Remote Sensing 10, no. 12 (2018): 2068. http://dx.doi.org/10.3390/rs10122068.

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In unstable atmospheric conditions, using on-board irradiance sensors is one of the only robust methods to convert unmanned aerial vehicle (UAV)-based optical remote sensing data to reflectance factors. Normally, such sensors experience significant errors due to tilting of the UAV, if not installed on a stabilizing gimbal. Unfortunately, such gimbals of sufficient accuracy are heavy, cumbersome, and cannot be installed on all UAV platforms. In this paper, we present the FGI Aerial Image Reference System (FGI AIRS) developed at the Finnish Geospatial Research Institute (FGI) and a novel method

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Wang, Guo Hui, Jin Cheng, and Quan Rui Wei. "A New Image Irradiance Equation for Perspective Shape from Shading of Hybrid Surfaces." Applied Mechanics and Materials 519-520 (February 2014): 676–79. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.676.

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Shape from shading (SFS) is a classical and important problem in the domain of computer vision. This paper presents a new image irradiance equation for perspective SFS method to reconstruct the hybrid surfaces that have both diffuse reflection and specular reflection. The hybrid reflectance model composed of a linear combination of Oren-Nayar model and Ward model is used to express the hybrid surfaces. An imaging model incorporating near point light source, perspective camera projection and the hybrid reflectance model is established. Under this model, the image irradiance equation has been de

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Wang, Fei, Zhiming Xuan, Zhao Zhen, et al. "A minutely solar irradiance forecasting method based on real-time sky image-irradiance mapping model." Energy Conversion and Management 220 (September 2020): 113075. http://dx.doi.org/10.1016/j.enconman.2020.113075.

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Han, Hongyin, Chengshan Han, Liang Huang, Taiji Lan, and Xucheng Xue. "Irradiance Restoration Based Shadow Compensation Approach for High Resolution Multispectral Satellite Remote Sensing Images." Sensors 20, no. 21 (2020): 6053. http://dx.doi.org/10.3390/s20216053.

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Numerous applications are hindered by shadows in high resolution satellite remote sensing images, like image classification, target recognition and change detection. In order to improve remote sensing image utilization, significant importance appears for restoring surface feature information under shadow regions. Problems inevitably occur for current shadow compensation methods in processing high resolution multispectral satellite remote sensing images, such as color distortion of compensated shadow and interference of non-shadow. In this study, to further settle these problems, we analyzed th

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Radovan, Aleksander, Viktor Šunde, Danijel Kučak, and Željko Ban. "Solar Irradiance Forecast Based on Cloud Movement Prediction." Energies 14, no. 13 (2021): 3775. http://dx.doi.org/10.3390/en14133775.

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Solar energy production based on a photovoltaic system is closely related to solar irradiance. Therefore, the planning of production is based on the prediction of solar irradiance. The optimal use of different energy storage systems requires an accurate prediction of solar irradiation with at least an hourly time horizon. In this work, a solar irradiance prediction method is developed based on the prediction of solar shading by clouds. The method is based on determining the current cloud position and estimating the velocity from a sequence of multiple images taken with a 180-degree wide-angle

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Siew, Ronian. "Distinction between image magnification and irradiance magnification: a commentary." Optical Engineering 56, no. 2 (2017): 029701. http://dx.doi.org/10.1117/1.oe.56.2.029701.

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Ogawa, Naoya, and Kazunori Umeda. "Range Measurement Using a Digital Camera Flash." Journal of Robotics and Mechatronics 19, no. 1 (2007): 77–84. http://dx.doi.org/10.20965/jrm.2007.p0077.

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Most methods for range measurement or three-dimensional shape reconstruction have required large equipment or a special environment. This paper proposes a method which obtains a range image easily in a general environment using only an off-the-shelf digital camera. Distance is calculated based on irradiance of scene lighted by the digital camera's flash using the fact that the intensity of reflected light of the flash is inversely proportional to the square of the distance from the object. Irradiance is obtained by subtracting an image without the flash from an image with the flash. The image

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Yao, Bin, Weifang Sun, Binqiang Chen, Tianxiang Zhou, and Xincheng Cao. "Surface reconstruction based on the camera relative irradiance." International Journal of Distributed Sensor Networks 14, no. 2 (2018): 155014771875956. http://dx.doi.org/10.1177/1550147718759566.

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Precise three-dimensional measurements of surfaces are significant in many fields. Usually, three-dimensional descriptions of the object surface have to be acquired by contact measure probe or other non-contact equipment. The paper proposed a novel surface reconstruction method that uses camera relative irradiance via the image gray-scale value information under fixed ring light. After calibrations of the measurement condition, just one image of the object is necessary to reconstruct the surface. The method mainly involves two aspects: the calibration process and the surface reconstruction pro

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Wang, Da Long. "Simulation of Data Processing for High-Performance Computers." Applied Mechanics and Materials 687-691 (November 2014): 3525–29. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3525.

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As the non-uniformity of multi-channel output in ultra-high resolution CCD imaging system causes image seam problem, CCD multi-channel output non-uniformity correction method based on TDI read-out way is put forward. This method images only with image irradiance point, and with one image, a large amount of correction measuring points can be gained; on one hand, accuracy matching output characteristics can be ensured, and on the other hand, the influence of light source adjustment on correction outcomes can be erased. Experimental results show that, this method has high degree of correction acc

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Riza, Nabeel A., and Nazim Ashraf. "Calibration Empowered Minimalistic Multi-Exposure Image Processing Technique for Camera Linear Dynamic Range Extension." Electronic Imaging 2020, no. 7 (2020): 213–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.7.iss-213.

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Proposed for the first time is a novel calibration empowered minimalistic multi-exposure image processing technique using measured sensor pixel voltage output and exposure time factor limits for robust camera linear dynamic range extension. The technique exploits the best linear response region of an overall nonlinear response image sensor to robustly recover via minimal count multi-exposure image fusion, the true and precise scaled High Dynamic Range (HDR) irradiance map. CMOS sensor-based experiments using a measured Low Dynamic Range (LDR) 44 dB linear region for the technique with a minimu

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Somov, A. R., and A. Kh Gilmutdinov. "Irradiance distribution in the image of a tube electrothermal atomizer." Spectrochimica Acta Part B: Atomic Spectroscopy 52, no. 9-10 (1997): 1413–20. http://dx.doi.org/10.1016/s0584-8547(97)00037-2.

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Fu, Chia-Lin, and Hsu-Yung Cheng. "Predicting solar irradiance with all-sky image features via regression." Solar Energy 97 (November 2013): 537–50. http://dx.doi.org/10.1016/j.solener.2013.09.016.

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Dissawa, Lasanthika H., Roshan I. Godaliyadda, Parakrama B. Ekanayake, et al. "Sky Image-Based Localized, Short-Term Solar Irradiance Forecasting for Multiple PV Sites via Cloud Motion Tracking." International Journal of Photoenergy 2021 (July 12, 2021): 1–27. http://dx.doi.org/10.1155/2021/9973010.

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Power generation through solar photovoltaics has shown significant growth in recent years. However, high penetration of solar PV creates power system operational issues as a result of solar PV variability and uncertainty. Short-term PV variability mainly occurs due to the intermittency of cloud cover. Therefore, to mitigate the effects of PV variability, a sky-image-based, localized, global horizontal irradiance forecasting model was introduced considering the individual cloud motion, cloud thicknesses, and the elevations of clouds above the ground level. The proposed forecasting model works i

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Shen, Runjie, Yiying Wang, Ruimin Xing, Danqiong Hua, and Ming Ma. "Study on Ultra-short-time Power Forecast of Photovoltaic System based on Ground-based Cloud Image Recognition and Key Impact Factors." E3S Web of Conferences 185 (2020): 02028. http://dx.doi.org/10.1051/e3sconf/202018502028.

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In recent years, under the dual pressure of resource shortage and environmental pollution, the photovoltaic (PV) power generation industry has flourished. The irradiance forecasting technology of PV power plants is of great significance for output prediction, grid dispatching and safe operation. Cloud cover is always the key factor making the irradiance fluctuate. In this article, colorful ground-based cloud images are collected by the all-sky imager every minute as the research object. Based on the traditional threshold method, a hybrid entropy threshold method is proposed to identify cloud c

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Kumara, S. T., R. Kariyappa, M. Dominique, et al. "Preliminary Results on Irradiance Measurements from Lyra and Swap." Advances in Astronomy 2012 (2012): 1–5. http://dx.doi.org/10.1155/2012/623709.

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The first and preliminary results of the photometry of Large Yield Radiometer (LYRA) and Sun Watcher using Active Pixel system detector and Image Processing (SWAP) onboard PROBA2 are presented in this paper. To study the day-to-day variations of LYRA irradiance, we have compared the LYRA irradiance values (observed Sun as a star) measured in Aluminum filter channel (171 Å–500 Å) with spatially resolved full-disk integrated intensity values measured with SWAP (174 Å) and Ca II K 1 Å index values (ground-based observations from NSO/Sac Peak) for the period from 01 April 2010 to 15 Mar 2011. We f

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Markelin, L., J. Suomalainen, T. Hakala, et al. "METHODOLOGY FOR DIRECT REFLECTANCE MEASUREMENT FROM A DRONE: SYSTEM DESCRIPTION, RADIOMETRIC CALIBRATION AND LATEST RESULTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 283–88. http://dx.doi.org/10.5194/isprs-archives-xlii-1-283-2018.

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<p><strong>Abstract.</strong> We study and analyse performance of a system for direct reflectance measurements from a drone. Key instruments of the system are upwards looking irradiance sensor and downwards looking imaging spectrometer. Requirement for both instruments is that they are radiometrically calibrated, the irradiance sensor has to be horizontally stabilized, and the sensors needs to be accurately synchronized. In our system, irradiance measurements are done with <i>FGI Aerial Image Reference System</i> (FGI AIRS), which uses novel optical levelling meth

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Chu, Yinghao, Hugo T. C. Pedro, Mengying Li, and Carlos F. M. Coimbra. "Real-time forecasting of solar irradiance ramps with smart image processing." Solar Energy 114 (April 2015): 91–104. http://dx.doi.org/10.1016/j.solener.2015.01.024.

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Kamadinata, Jane Oktavia, Tan Lit Ken, and Tohru Suwa. "Sky image-based solar irradiance prediction methodologies using artificial neural networks." Renewable Energy 134 (April 2019): 837–45. http://dx.doi.org/10.1016/j.renene.2018.11.056.

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Chang, Soo, and Sang Il Lee. "Effects of third-order aberrations on the irradiance of self-image." Optik 121, no. 3 (2010): 230–38. http://dx.doi.org/10.1016/j.ijleo.2008.07.001.

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Yang, Gao, Li, Jia, and Jiang. "Nowcasting of Surface Solar Irradiance Using FengYun-4 Satellite Observations over China." Remote Sensing 11, no. 17 (2019): 1984. http://dx.doi.org/10.3390/rs11171984.

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The accurate prediction of surface solar irradiance is of great significance for the generation of photovoltaic power. Surface solar irradiance is affected by many random mutation factors, which means that there are great challenges faced in short-term prediction. In Northwest China, there are abundant solar energy resources and large desert areas, which have broad prospects for the development of photovoltaic (PV) systems. For the desert areas in Northwest China, where meteorological stations are scarce, satellite remote sensing data are extremely precious exploration data. In this paper, we

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Jiang, Junxia, Qingquan Lv, and Xiaoqing Gao. "The Ultra-Short-Term Forecasting of Global Horizonal Irradiance Based on Total Sky Images." Remote Sensing 12, no. 21 (2020): 3671. http://dx.doi.org/10.3390/rs12213671.

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Solar photovoltaics (PV) has advanced at an unprecedented rate and the global cumulative installed PV capacity is growing exponentially. However, the ability to forecast PV power remains a key technical challenge due to the variability and uncertainty of solar irradiance resulting from the changes of clouds. Ground-based remote sensing with high temporal and spatial resolution may have potential for solar irradiation forecasting, especially under cloudy conditions. To this end, we established two ultra-short-term forecasting models of global horizonal irradiance (GHI) using Ternary Linear Regr

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Zakšek, K., K. Čotar, T. Veljanovski, P. Pehani, and K. Oštir. "Topographic Correction Module at Storm (TC@Storm)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 721–28. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-721-2015.

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Different solar position in combination with terrain slope and aspect result in different illumination of inclined surfaces. Therefore, the retrieved satellite data cannot be accurately transformed to the spectral reflectance, which depends only on the land cover. The topographic correction should remove this effect and enable further automatic processing of higher level products. The topographic correction TC@STORM was developed as a module within the SPACE-SI automatic near-real-time image processing chain STORM. It combines physical approach with the standard Minnaert method. The total irra

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Tsai, Jhy Cherng, Meng Yun Hsieh, and Hsi Harng Yang. "Diffraction Effect in Proximity Printing of Circular Aperture Array." Key Engineering Materials 364-366 (December 2007): 955–60. http://dx.doi.org/10.4028/www.scientific.net/kem.364-366.955.

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Proximity printing is one of the lithographic processes used in fabricating semiconductor, micro optoelectronic components and micro electro-mechanical systems to transfer mask pattern to the substrate. This research investigates the cause of pattern distortion based on the analysis of diffraction effect of light beam due to the gap between the mask and the photo resistant in the proximity printing process. The Huygens-Fresnel diffraction theorem is first employed to derive the diffraction effect. It shows that irradiance decreases as the gap increased, which is consistent with practice. Furth

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Quiroga, J. A., A. Gonzalez-Cano, and E. Bernabeu. "A fast method to measure the irradiance response of image processing systems." Measurement Science and Technology 6, no. 2 (1995): 181–87. http://dx.doi.org/10.1088/0957-0233/6/2/009.

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Friedlander, Robert D., and Anthony J. Yezzi. "Closed-form solution for thin lens image irradiance under arbitrary solid angle." Journal of the Optical Society of America A 37, no. 4 (2020): 568. http://dx.doi.org/10.1364/josaa.377896.

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Peirson, Stuart N., Stephanie Halford, and Russell G. Foster. "The evolution of irradiance detection: melanopsin and the non-visual opsins." Philosophical Transactions of the Royal Society B: Biological Sciences 364, no. 1531 (2009): 2849–65. http://dx.doi.org/10.1098/rstb.2009.0050.

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Circadian rhythms are endogenous 24 h cycles that persist in the absence of external time cues. These rhythms provide an internal representation of day length and optimize physiology and behaviour to the varying demands of the solar cycle. These clocks require daily adjustment to local time and the primary time cue (zeitgeber) used by most vertebrates is the daily change in the amount of environmental light (irradiance) at dawn and dusk, a process termed photoentrainment. Attempts to understand the photoreceptor mechanisms mediating non-image-forming responses to light, such as photoentrainmen

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Yu, Mali, and Hai Zhang. "High Dynamic Range Imaging Based on Bidirectional Structural Similarities and Weighted Low-Rank Matrix Completion." Advances in Multimedia 2019 (December 26, 2019): 1–8. http://dx.doi.org/10.1155/2019/8459896.

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High dynamic range (HDR) imaging, aiming to increase the dynamic range of an image by merging multiexposure images, has attracted much attention. Ghosts are often observed in a resultant image, due to camera motion and object motion in the scene. Low-rank matrix completion (LRMC) provides an effective tool to remove ghosts. However, user specification of the included or excluded regions is required. In this paper, we propose a novel HDR imaging method based on bidirectional structural similarities and weighted low-rank matrix completion. In our method, we first propose the bidirectional struct

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Richardson, Walter, David Cañadillas, Ariana Moncada, et al. "Validation of All-Sky Imager Technology and Solar Irradiance Forecasting at Three Locations: NREL, San Antonio, Texas, and the Canary Islands, Spain." Applied Sciences 9, no. 4 (2019): 684. http://dx.doi.org/10.3390/app9040684.

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Increasing photovoltaic (PV) generation in the world’s power grid necessitates accurate solar irradiance forecasts to ensure grid stability and reliability. The University of Texas at San Antonio (UTSA) SkyImager was designed as a low cost, edge computing, all-sky imager that provides intra-hour irradiance forecasts. The SkyImager utilizes a single board computer and high-resolution camera with a fisheye lens housed in an all-weather enclosure. General Purpose IO pins allow external sensors to be connected, a unique aspect is the use of only open source software. Code for the SkyImager is writ

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Crisosto, Cristian, Eduardo W. Luiz, and Gunther Seckmeyer. "Convolutional Neural Network for High-Resolution Cloud Motion Prediction from Hemispheric Sky Images." Energies 14, no. 3 (2021): 753. http://dx.doi.org/10.3390/en14030753.

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A novel high-resolution method for forecasting cloud motion from all-sky images using deep learning is presented. A convolutional neural network (CNN) was created and trained with more than two years of all-sky images, recorded by a hemispheric sky imager (HSI) at the Institute of Meteorology and Climatology (IMUK) of the Leibniz Universität Hannover, Hannover, Germany. Using the haze indexpostprocessing algorithm, cloud characteristics were found, and the deformation vector of each cloud was performed and used as ground truth. The CNN training process was built to predict cloud motion up to 1

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Wang, Guo Hui, Jin Cheng, and Quan Rui Wei. "A New Perspective Shape from Shading Approach for Hybrid Surfaces." Applied Mechanics and Materials 519-520 (February 2014): 602–5. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.602.

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Shape from shading (SFS) is a classical and important problem in the domain of computer vision. The first paper of the authors gives a new image irradiance equation for perspective SFS method to reconstruct the hybrid surfaces that have both diffuse reflection and specular reflection. This paper presents a new approach to compute the viscosity solution of the resulting Hamilton- Jacobi (H-J) equation considering the boundary conditions. The approach is based on 2D central Hamiltonian and iterative sweeping method. Experiments are performed on three images and the results show the effectiveness

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Zhou, Li, Du-Yan Bi, and Lin-Yuan He. "An Image Defogging Approach Based on a Constrained Energy Functional under Bayesian and Variation Theories." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/647080.

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Hazy images produce negative influences on visual applications in the open air since they are in poor visibility with low contrast and whitening color. Numerous existing methods tend to derive a totally rough estimate of scene depth. Unlike previous work, we focus on the probability distribution of depth that is considered as a scene prior. Inspired by the denoising work of multiplicative noises, the inverse problem for hazy removal is recast as deriving the optimal difference between scene irradiance and the airlight from a constrained energy functional under Bayesian and variation theories.

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de Sá Campos, Manoel Henriques, and Chigueru Tiba. "Global Horizontal Irradiance Modeling for All Sky Conditions Using an Image-Pixel Approach." Energies 13, no. 24 (2020): 6719. http://dx.doi.org/10.3390/en13246719.

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Ground images with a sky camera have become common to evaluate cloud coverage, aerosols, and energy collection. In parallel, the growth of solar energy has led to an impulse to evaluate and forecast the solar potential in a site before investments, which has increased the importance of solar power measurements. Facing that scenario, this work presents a novel sky camera model that allows to measure the global horizontal irradiance (GHI). Initially, images from a fisheye camera were stored and a pixel-based approach model was created for cloud segmentation. A total of 813 k vectors of features

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