Guided Filter of Random Patches Network and Relaxed-Collaborative-Representation-Based Hyperspectral Image Classification
Feature extraction and accurate classification are crucial tasks in the land-cover classification of the hyperspectral image (HSI). We propose a guided filter (GF) of a random patches network (RPNet) and a relaxed collaborative representation (RCR)-based HSI classification (HSIC) method called GRR....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10460102/ |