Lightweight Tensorized Neural Networks for Hyperspectral Image Classification
Deep learning methods have demonstrated excellent performance in hyperspectral image (HSI) classification. However, these methods mainly focus on improving the classification accuracy while ignoring their high complexity. By considering that the data formats of both HSIs and network weights can be r...
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Published in | IEEE transactions on geoscience and remote sensing Vol. 60; p. 1 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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