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....
Gardado en:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2024-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/10460102/ |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|