New Identification of Sericite Subclass Minerals Using Airborne Hyperspectral Data in the Xitan Region of Gansu Province and its Significance in Gold Ore Prospecting
Author:
Affiliation:
1. Beijing Research Institute of Uranium Geology; Beijing 100029 China
2. National Key Laboratory of Remote Sensing Information and Image Analysis Technology; Beijing 100029 China
Publisher
Wiley
Subject
Geology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/1755-6724.13528/fullpdf
Reference3 articles.
1. Current gold prospecting in China;Shibin;Acta Geologica Sinica (English Edition),2016
2. Mapping white micas and their absorption wavelengths using hyperspectral band ratios;Van Ruitenbeek;Remote Sensing of Environment,2006
3. Progress of geological survey using airborne hyperspectral remote sensing data in the Gansu and Qinghai regions;Yingjun;Acta Geologica Sinica (English Edition),2015
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1. Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network;PLOS ONE;2021-10-14
2. Alteration Hydrothermal Stage Division and its Application in Geological Prospecting Using CASI-SASI Airborne Hyperspectral Data: Taken the Baixianishan Area in Liuyuan Town of Gansu Province as an Example;IOP Conference Series: Earth and Environmental Science;2019-11-01
3. Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation;Neurocomputing;2019-02
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