Lithological information extraction and classification in hyperspectral remote sensing data using Ba...
Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
The purposes are to solve the isomorphism encountered while processing hyperspectral remote sensing data and improve the accuracy of hyperspectral remote sensing data in extracting and classifying lithological information. Taking rocks as the research object, Backpropagation Neural Network (BPNN) is introduced. After the hyperspectral image data ar...
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Full title
Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network
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TN_cdi_plos_journals_2582105065
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2582105065
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0254542
