A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features
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 th...
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| Format: | Article |
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MDPI AG
2020-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/20/3349 |
| _version_ | 1797551036770025472 |
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| author | Shengrong Wei Weili Jiao Tengfei Long Huichan Liu Lu Bi Wei Jiang Boris A. Portnov Ming Liu |
| author_facet | Shengrong Wei Weili Jiao Tengfei Long Huichan Liu Lu Bi Wei Jiang Boris A. Portnov Ming Liu |
| author_sort | Shengrong Wei |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T15:39:02Z |
| format | Article |
| id | doaj.art-f682fcb4399c4b8e844c9d1dd3e3af94 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T15:39:02Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f682fcb4399c4b8e844c9d1dd3e3af942023-11-20T17:03:07ZengMDPI AGRemote Sensing2072-42922020-10-011220334910.3390/rs12203349A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant FeaturesShengrong Wei0Weili Jiao1Tengfei Long2Huichan Liu3Lu Bi4Wei Jiang5Boris A. Portnov6Ming Liu7Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, ChinaResearch Center of Flood and Drought Disaster Reduction of the Ministry of Water Resources, Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaDepartment of Natural Resources and Environmental Management, University of Haifa, Mt. Carmel, Haifa 3498838, IsraelSchool of Architecture & Fine Art, Dalian University of Technology, Dalian 116024, ChinaThe 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.https://www.mdpi.com/2072-4292/12/20/3349International Space Stationnighttime lightpseudo invariant featureradiation normalizationDMSP/OLS |
| spellingShingle | Shengrong Wei Weili Jiao Tengfei Long Huichan Liu Lu Bi Wei Jiang Boris A. Portnov Ming Liu A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features Remote Sensing International Space Station nighttime light pseudo invariant feature radiation normalization DMSP/OLS |
| title | A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features |
| title_full | A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features |
| title_fullStr | A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features |
| title_full_unstemmed | A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features |
| title_short | A Relative Radiation Normalization Method of ISS Nighttime Light Images Based on Pseudo Invariant Features |
| title_sort | relative radiation normalization method of iss nighttime light images based on pseudo invariant features |
| topic | International Space Station nighttime light pseudo invariant feature radiation normalization DMSP/OLS |
| url | https://www.mdpi.com/2072-4292/12/20/3349 |
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