Lithological mapping using EO-1 Hyperion hyperspectral data and semisupervised self-learning method
Author:
Affiliation:
1. Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing
2. Sun Yat-Sen University, School of Geography and Planning, Guangdong Provincial Key Laboratory of Urb
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Improving Rock Classification with 1D Discrete Wavelet Transform Based on Laboratory Reflectance Spectra and Gaofen-5 Hyperspectral Data;Remote Sensing;2023-11-13
2. PRISMA hyperspectral data for lithological mapping in the Egyptian Eastern Desert: Evaluating the support vector machine, random forest, and XG boost machine learning algorithms;Ore Geology Reviews;2023-10
3. Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm;Remote Sensing;2023-06-15
4. Evaluation of machine learning techniques with AVIRIS-NG dataset in the identification and mapping of minerals;Advances in Space Research;2022-09
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