Multiscale Hyperspectral Pansharpening Network Based on Dual Pyramid and Transformer
Hyperspectral pansharpening is to fuse a high spatial resolution panchromatic image (PAN) with a low spatial resolution hyperspectral image (LR-HSI) and generate high resolution hyperspectral image (HR-HSI). However, most existing deep learning-based pansharpening methods have some issues, such as s...
Saved in:
| Main Authors: | Hengyou Wang, Jie Zhang, Lian-Zhi Huo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10545580/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pansharpening via Multiscale Embedding and Dual Attention Transformers
by: Wensheng Fan, et al.
Published: (2024-01-01) -
Multiscale Graph Transformer Network With Dynamic Superpixel Pyramid for Hyperspectral Image Classification
by: Tingting Wang, et al.
Published: (2025-01-01) -
Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data
by: Maciej Ziaja, et al.
Published: (2025-01-01) -
Self-Supervised Multiscale Contrastive and Attention-Guided Gradient Projection Network for Pansharpening
by: Qingping Li, et al.
Published: (2025-04-01) -
Transformer-Based Diffusion and Spectral Priors Model for Hyperspectral Pansharpening
by: Hongcheng Jiang, et al.
Published: (2025-01-01)