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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Published in | Remote sensing (Basel, Switzerland) Vol. 12; no. 23; p. 3879 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.12.2020
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Subjects | |
Online Access | Get full text |
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