A Lightweight 1-D Convolution Augmented Transformer with Metric Learning for Hyperspectral Image Classification
Hyperspectral image (HSI) classification is the subject of intense research in remote sensing. The tremendous success of deep learning in computer vision has recently sparked the interest in applying deep learning in hyperspectral image classification. However, most deep learning methods for hypersp...
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Published in | Sensors (Basel, Switzerland) Vol. 21; no. 5; p. 1751 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI
03.03.2021
MDPI AG |
Subjects | |
Online Access | Get full text |
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