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

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

Content Provider	MDPI
Author	Wei, Shengrong Jiao, Weili Long, Tengfei Liu, Huichan Bi, Lu Jiang, Wei Portnov, Boris Liu, Ming
Copyright Year	2020
Description	The International Space Station (ISS) offers a unique view from space that provides nighttime light (NTL) images of many parts of the globe. Compared with other NTL remote sensing data, ISS NTL multispectral images taken by astronauts with commercial digital single-lens reflex (DSLR) cameras have the characteristics of free access, high spatial resolution, abundant data and no light saturation, so it plays a unique advantage in the research of small-scale urban planning, optimization of lighting resource allocation and blue light pollution. In order to improve the radiation consistency of ISS NTL images, a relative radiation normalization method of ISS NTL images is proposed in this paper. Pseudo invariant features (PIF) were identified in the cloud-free Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) time series NTL remote sensing annual composite product, and then they were used to derive the relative radiation normalization model of ISS NTL images. The results show that the radiation brightness of ISS NTL images in different regions is normalized to the same gray level with that of DMSP/OLS NTL remote sensing images in the same year, which improves the radiation brightness comparability between different regions of ISS NTL images. This method is universally applicable to all ISS NTL images, which is beneficial to the NTL comparability of ISS NTL image in the regional horizontal and temporal vertical.
Starting Page	3349
e-ISSN	20724292
DOI	10.3390/rs12203349
Journal	Remote Sensing
Issue Number	20
Volume Number	12
Language	English
Publisher	MDPI
Publisher Date	2020-10-14
Access Restriction	Open
Subject Keyword	Remote Sensing Imaging Science International Space Station Nighttime Light Pseudo Invariant Feature Radiation Normalization Dmsp/ols
Content Type	Text
Resource Type	Article

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