HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing
Hyperspectral image (HSI) dehazing is a challenging task due to the complex imaging conditions. Existing deep learning-based dehazing methods neither fully consider the physical characteristics of HSIs, nor take advantage of high-level semantic information to improve the dehazing performance. To rem...
Saved in:
| Main Authors: | Qianru Liu, Tiecheng Song, Anyong Qin, Yin Liu, Feng Yang, Chenqiang Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10820032/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Drone-View Haze Removal via Regional Saturation-Value Translation and Soft Segmentation
by: Truong-Dong do, et al.
Published: (2025-01-01) -
Image dehazing method based on haze-line and color attenuation prior
by: Miao LIAO, et al.
Published: (2023-01-01) -
Image dehazing method based on haze-line and color attenuation prior
by: Miao LIAO, et al.
Published: (2023-01-01) -
Alpha-DehazeNet: single image dehazing via RGBA haze modeling and adaptive learning
by: Jin He, et al.
Published: (2025-07-01) -
Multi-Dimensional and Multi-Scale Physical Dehazing Network for Remote Sensing Images
by: Hao Zhou, et al.
Published: (2024-12-01)