A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features

Wei, Shengrong; Jiao, Weili; Long, Tao; Liu, Huichan; Bi, Lu; Jian, Wei; Portnov, Boris A.; Liu, Ming

doi:10.3390/rs12203349

Cited by 7 publications

(5 citation statements)

References 50 publications

(75 reference statements)

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“…However, the dominance of the DNB literature despite being in orbit for a decade vs. the ~50 years of OLS remains remarkable. The "Other" 3% category covers instruments, such as CubeSat Multispectral Observing System (CUMULOS), which flew on the National Aeronautics and Space Administration (NASA) Integrated Solar Array and Reflectarray Antenna CubeSat mission (ISARA) [8], China's Luojia-1-01 [9], and the International Space Station [7,10]. Nearly 97% of the database is tagged with either DMSP-OLS or S-NPP/JPSS VIIRS DNB.…”

Section: Satellite-based Low-light Observationsmentioning

confidence: 99%

A Review of the Far-Reaching Usage of Low-Light Nighttime Data

Combs

Miller

2023

Remote Sensing

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To assess the current and future utility of low-light satellite data, this paper reviewed 1630 papers, presentations, theses, and dissertations using day/night band (DNB) data from the visible infrared imaging radiometer suite (VIIRS) imager and its precursor, the Defense Meteorological Satellite Program’s Operational Linescan system (DMSP-OLS) series from the 1970s through to the year 2021. By the way of a categorical system, we take inventory of the myriad applications of these data to a wide variety of disciplines, ranging from social to natural science, oceans to atmosphere, and biology to civil engineering. Papers from social science fields dominate this spectrum, pointing to the unique aspect of low-light observations in their ability to observe aspects of human civilization at night. We also look at the stratification between applications using natural vs. artificial light, the use of moonlight, and the context of the key earth climate system elements. In light of these findings, a discussion is provided for the future of low-light measurements. Since the start of the VIIRS series, there has been a rapid increase in interest in the use of these data for numerous fields, pointing towards a nascent field centered on the nocturnal earth system science that is enabled by these novel and newly quantifiable measurements. This study is of significant importance in evaluating current uses of low-light data and possible architecture solutions for next-generation satellites.

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Section: Satellite-based Low-light Observationsmentioning

confidence: 99%

A Review of the Far-Reaching Usage of Low-Light Nighttime Data

Combs

Miller

2023

Remote Sensing

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“…Second, the distance supervision section: the calculation process is shown in Fig. 3(b), where 0 d is the distance between image 1 to be calculated and the reference image, 1 d is the distance between image 2 to be calculated and the reference image, and the distance calculation is shown in Equation (5). The supervised result adopts one-hot encoding.…”

Section: A Visual Perceptual Distance Metric Networkmentioning

confidence: 99%

“…The distance calculation part of the trained model is used for calculating the image distance. d(x,x ) w y y HW   (5) where…”

Section: A Visual Perceptual Distance Metric Networkmentioning

confidence: 99%

“…The commonly used radiometric correction methods are absolute and relative radiometric correction [2]. However, absolute radiation correction requires a large number of imaging and other parameters [3], so relative radiation correction is used more often [4,5]. Relative radiometric correction uses the grayscale value of the feature in a multitemporal image instead of the reflected irradiance or reflectance of the feature [6,7] and matches the grayscale value of the image to be corrected with that of the reference image.…”

Section: Introductionmentioning

confidence: 99%

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Relative Radiation Correction Based on CycleGAN for Visual Perception Improvement in High-Resolution Remote Sensing Images

Fan

Zhang

et al. 2021

IEEE Access

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The differences between the imaging environments of sensors lead to great differences in remote sensing images of the same area in different seasons. Relative radiation correction has high practical value as the main method to reduce such differences. However, the differences in vegetation radiation caused by seasonal changes are difficult to correct by traditional radiation correction methods. The corrected results also have difficulty achieving better results at the level of human eye visual perception. Moreover, the traditional measurement of the relative radiation correction result image quality index is not consistent with the human eye visual perception effect. To address the above two problems, this paper performs seasonal relative radiation correction on high-resolution remote sensing images by CycleGAN based on a convolutional neural network, including two transformations: 1) the transformation of remote sensing images from autumn-winter to spring-summer and 2) the transformation of remote sensing images from spring-summer to autumn-winter. The similarity between the relative radiation-corrected image and the reference image is measured by the convolutional neural network model with the ability to discriminate distances. The results show that the visual effect of this method is significantly better than that of other relative radiation correction methods, and the visual perception distance is consistent with the human eye visual perception judgment. The changed area still retains its original feature characteristics. The visual perception distance of the conversion from autumn-winter to spring-summer images is improved by 9% compared with other state-of-the-art methods. The visual perception distance of spring-summer images to autumn-winter images is improved by 3%. We expect that the method in this paper can be used for preprocessing to improve the accuracy of algorithms for remote sensing image classification, image change detection, etc.

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“…Since this type of measurement is mostly controlled manually, it also has several obvious disadvantages compared to satellites located in specialized orbits, i.e., the sampling time and spatial distribution of the data are irregular and often do not provide global coverage. Moreover, the raw images require a series of corrective post-processing due to the skewed observation angle, which often results in observable errors [180]. However, ISS images are particularly serviceable in presenting light pollution-sensitive areas, and they contain affluent spectral information for environmental modeling of light pollution.…”

mentioning

confidence: 99%

Research Progress, Hotspots, and Evolution of Nighttime Light Pollution: Analysis Based on WOS Database and Remote Sensing Data

et al. 2023

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With the rapid development of the global economy, the over-expansion of outdoor artificial light at night (ALAN) in cities has led to increasingly severe light pollution worldwide. More and more studies have paid attention to the problem of light pollution, but there is still a lack of systematic literature review on nighttime light pollution in terms of research progress, hotspots, and its evolutions. For this purpose, this study firstly analyzed current research actuality and trends about nighttime light pollution via a comprehensive retrospect of pertinent literature and summarized the adverse effects and monitoring technologies of light pollution by VOSviewer-based keyword co-occurrence technique. Additionally, the study explored the variation tendency of nighttime light pollution in typical countries from 2013 to 2021 based on remote-sensing data and further proposed management suggestions to protect the nighttime environment. The results indicate that the research popularity of nighttime light pollution has been increasing recently, especially after the opening of diversified remote-sensing data in 2012; the main research topics are dominated by adverse effects and monitoring technologies, where the latter is represented by ground survey and remote-sensing observation; the total levels of ALAN intensity are relatively high in most developed countries, but the mean and per capita values are decreasing, and the above phenomenon in developing countries show the opposite trend. This study expects to integrate the literature analysis method and remote-sensing data to demonstrate the research status and variation trends of nighttime light pollution systematically so as to provide scientific references for the assessment and management of the nighttime light environment.

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A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features

Cited by 7 publications

References 50 publications

A Review of the Far-Reaching Usage of Low-Light Nighttime Data

A Review of the Far-Reaching Usage of Low-Light Nighttime Data

Relative Radiation Correction Based on CycleGAN for Visual Perception Improvement in High-Resolution Remote Sensing Images

Research Progress, Hotspots, and Evolution of Nighttime Light Pollution: Analysis Based on WOS Database and Remote Sensing Data

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