Extraction of soil mineral information based on hyperspectral image

Na Li; Xinfeng Dong; Fuping Gan; Zhanchun Zou

doi:10.1117/12.2601998

24 November 2021 Extraction of soil mineral information based on hyperspectral image

Na Li, Xinfeng Dong, Fuping Gan, Zhanchun Zou

Author Affiliations +

Proceedings Volume 12064, AOPC 2021: Optical Spectroscopy and Imaging; 1206406 (2021) https://doi.org/10.1117/12.2601998
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

Soil is an important link in the process of maintaining ecological balance, which is in the central position of connecting the organic and inorganic world in nature. As an important part of soil, mineral composition not only affects its physical and chemical properties, but also plays an important role in the adsorption and migration of heavy metals and organic pollutants in the ecological environment.In this paper, using the ZY-1-02D satellite hyperspectral data, combined with the USGS standard spectral library, analyze the overall spectral shape and local feature positions of soil mineral spectra.The method of combining spectral feature enhancement matching degree and feature parameter information extraction is used to extract typical minerals such as montmorillonite, kaolinite, calcite, dolomite, mica, hematite, and limonite in bare soil and invert its relative content,obtained the spatial distribution status and distribution characteristics of different soil minerals,it can provide theoretical basis for subsequent research on soil classification, soil physical and chemical parameter prediction, and provide technical support for soil fine mapping, utilization and protection of soil and mineral resources.

Citation Download Citation

Na Li, Xinfeng Dong, Fuping Gan, and Zhanchun Zou "Extraction of soil mineral information based on hyperspectral image", Proc. SPIE 12064, AOPC 2021: Optical Spectroscopy and Imaging, 1206406 (24 November 2021); https://doi.org/10.1117/12.2601998

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