AMamNet: Attention-Enhanced Mamba Network for Hyperspectral Remote Sensing Image Classification
Hyperspectral imaging, a key technology in remote sensing, captures rich spectral information beyond the visible spectrum, rendering it indispensable for advanced classification tasks. However, with developments in hyperspectral imaging, spatial–spectral redundancy and spectral confusion have increa...
Saved in:
| Main Authors: | Chunjiang Liu, Feng Wang, Qinglei Jia, Li Liu, Tianxiang Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/16/5/541 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MRFP-Mamba: Multi-Receptive Field Parallel Mamba for Hyperspectral Image Classification
by: Xiaofei Yang, et al.
Published: (2025-06-01) -
Lightweight Multi-Head MambaOut with CosTaylorFormer for Hyperspectral Image Classification
by: Yi Liu, et al.
Published: (2025-05-01) -
Spatial and Spectral Structure-Aware Mamba Network for Hyperspectral Image Classification
by: Jie Zhang, et al.
Published: (2025-07-01) -
HyperSMamba: A Lightweight Mamba for Efficient Hyperspectral Image Classification
by: Mengyuan Sun, et al.
Published: (2025-06-01) -
Lightweight Spatial–Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification
by: Yi Liu, et al.
Published: (2025-01-01)