Random Shuffling Data for Hyperspectral Image Classification with Siamese and Knowledge Distillation Network
Hyperspectral images (HSIs) are characterized by hundreds of spectral bands. The goal of HSI is to associate the pixel with a corresponding category label by analyzing subtle differences in the spectrum. Due to their excellent local context modeling capabilities, Convolutional Neural Network (CNN)-b...
Main Authors: | Zhen Yang, Ying Cao, Xin Zhou, Junya Liu, Tao Zhang, Jinsheng Ji |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/16/4078 |
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