Atmospheric Correction Based on Radiative Transfer Model: Processing and Accuracy Analysis of ZY1- 02E Satellite Hyperspectral Remote Sensing Images

The ZY1-02E satellite can effectively acquire large-width multispectral, infrared, and hyperspectral data. The satellite is networked with the in-orbit ZY1-02D satellite, forming a globally leading operational Earth spectroscopy detection capability. It is capable of achieving full coverage of hyperspectral data across the entire land area of the country every six months, serving various industries such as disaster reduction, environmental protection, housing and transportation, agriculture, forestry, oceanography, and surveying. This paper evaluates the surface reflectance of ZY1-02E AHSI data using three evaluation metrics: correlation coefficient, root mean square error, and spectral angle cosine, and compares the results with ASD measured spectral data. The results indicate that the ZY1-02E AHSI payload can effectively identify information such as kaolinite and salinization, demonstrating outstanding application capabilities in mineral information extraction and salinization detection in mining areas.

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Published
2024-11-22
DOI
https://doi.org/10.1109/icicml63543.2024.10958141
Primary Topic
Remote Sensing and Land Use
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article
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article

Atmospheric Correction Based on Radiative Transfer Model: Processing and Accuracy Analysis of ZY1- 02E Satellite Hyperspectral Remote Sensing Images

Yujie Zhao, Bangyu Ge, Yiying Wang, Li Guo et al.
Remote Sensing and Land Use
article

Atmospheric Correction Based on Radiative Transfer Model: Processing and Accuracy Analysis of ZY1- 02E Satellite Hyperspectral Remote Sensing Images

Yujie Zhao, Bangyu Ge, Yiying Wang, Li Guo, Kun Shang, Pengfei Huang, Shuhan Liu
article en

Abstract

The ZY1-02E satellite can effectively acquire large-width multispectral, infrared, and hyperspectral data. The satellite is networked with the in-orbit ZY1-02D satellite, forming a globally leading operational Earth spectroscopy detection capability. It is capable of achieving full coverage of hyperspectral data across the entire land area of the country every six months, serving various industries such as disaster reduction, environmental protection, housing and transportation, agriculture, forestry, oceanography, and surveying. This paper evaluates the surface reflectance of ZY1-02E AHSI data using three evaluation metrics: correlation coefficient, root mean square error, and spectral angle cosine, and compares the results with ASD measured spectral data. The results indicate that the ZY1-02E AHSI payload can effectively identify information such as kaolinite and salinization, demonstrating outstanding application capabilities in mineral information extraction and salinization detection in mining areas.

Beihang University (CN)
Openalex Percentile: Top 71%
Remote Sensing and Land Use
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