Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image
Due to the high cost and relatively low image quality of hyperspectral sensors, spectral super-resolution seeks to explore the mapping mechanisms between multispectral and hyperspectral images (HSIs), with the goal of reconstructing high-quality HSIs. In recent years, deep learning algorithms have a...
Saved in:
| Main Authors: | Jinfeng Gao, Gangqiang Li, Ruxian Yao, Qiang Liu, Junming Zhang |
|---|---|
| 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/11072230/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spectral Super-Resolution Reconstruction of Multispectral Remote Sensing Images via Clustering-Based Spectral Feature
by: Wang Benlin, et al.
Published: (2025-01-01) -
SSMSFuse: A Spectral and Spatial Multiscale Coupling Fusion Model for Hyperspectral and Multispectral Image
by: Siyuan Liu, et al.
Published: (2025-01-01) -
FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion
by: Rumei Li, et al.
Published: (2024-10-01) -
ATIS-Driven 3DCNet: A Novel Three-Stream Hyperspectral Fusion Framework with Knowledge from Downstream Classification Performance
by: Quan Zhang, et al.
Published: (2025-02-01) -
SSHFormer: Optimizing Spectral Reconstruction with a Spatial–Spectral Hybrid Transformer
by: Ang Gao, et al.
Published: (2025-04-01)