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

Authors :
Shengrong Wei
Weili Jiao
Tengfei Long
Huichan Liu
Lu Bi
Wei Jiang
Boris A. Portnov
Ming Liu
Source :
Remote Sensing, Vol 12, Iss 20, p 3349 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

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.

Details

Language :
English
ISSN :
20724292
Volume :
12
Issue :
20
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.f682fcb4399c4b8e844c9d1dd3e3af94
Document Type :
article
Full Text :
https://doi.org/10.3390/rs12203349