Hyperspectral Image Classification Based on Cross-Scene Adaptive Learning

Hyperspectral Image Classification Based on Cross-Scene Adaptive Learning

Aiming at few-shot classification in the field of hyperspectral remote sensing images, this paper proposes a classification method based on cross-scene adaptive learning. First, based on the unsupervised domain adaptive technology, cross-scene knowledge transfer learning is carried out to reduce the...

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Bibliographic Details
Main Authors:	Aili Wang, Chengyang Liu, Dong Xue, Haibin Wu, Yuxiao Zhang, Meihong Liu
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Series:	Symmetry
Subjects:	hyperspectral image few-shot cross-scene depthwise over-parameterized convolution weighted K-nearest neighbor
Online Access:	https://www.mdpi.com/2073-8994/13/10/1878

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