Hyperspectral Image Classification with Feature-Oriented Adversarial Active Learning

Deep learning classifiers exhibit remarkable performance for hyperspectral image classification given sufficient labeled samples but show deficiency in the situation of learning with limited labeled samples. Active learning endows deep learning classifiers with the ability to alleviate this deficien...

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Bibliographic Details
Published inRemote sensing (Basel, Switzerland) Vol. 12; no. 23; p. 3879
Main Authors Wang, Guangxing, Ren, Peng
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.12.2020
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