Comparison of GaoFen-5 hyperspectral and airborne hyperspectral imagery: case study of Gossan identification in Subei area

Junchuan Yu; Yichuan Li; Bokun Yan; Rongyuan Liu; Yanni Ma; Fuping Gan; Liang Zhang

doi:10.1117/12.2587248

12 March 2021 Comparison of GaoFen-5 hyperspectral and airborne hyperspectral imagery: case study of Gossan identification in Subei area

Junchuan Yu, Yichuan Li, Bokun Yan, Rongyuan Liu, Yanni Ma, Fuping Gan, Liang Zhang

Author Affiliations +

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117635J (2021) https://doi.org/10.1117/12.2587248
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

As a new multi-sensor satellite, GaoFen-5 (GF-5) has gradually attracted more attention. Especially, the GF-5 hyperspectral sensor has shown good prospects in geological applications, such as mineral mapping, geological body identification, and mining environment analysis. Therefore, there is an urgent need to evaluate the effectiveness of GF-5 hyperspectral data relative to airborne hyperspectral images (HSI) in geological applications. In this paper, the characteristics and preprocessing steps of GF-5 HSI were introduced. The HyMap data in the Subei area was employed for comparative experiments to evaluate the application performance of GF-5 in gossan identification. The experimental results show that the diagnostic spectral characteristics of limonite can be observed through GF-5 data. The distribution trends of limonite in both hyperspectral data are consistent, and the concentration of the limonite area directly indicated the gossan information, indicating that GF-5 HSI has promising potential for mineral mapping and may have important significance in large-scale geological applications.

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Junchuan Yu, Yichuan Li, Bokun Yan, Rongyuan Liu, Yanni Ma, Fuping Gan, and Liang Zhang "Comparison of GaoFen-5 hyperspectral and airborne hyperspectral imagery: case study of Gossan identification in Subei area", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117635J (12 March 2021); https://doi.org/10.1117/12.2587248

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