VITMST++: Efficient Hyperspectral Reconstruction Through Vision Transformer-Based Spatial Compression
Hyperspectralchannel reconstruction transforms a subsampled multispectral image into hyperspectral imaging, providing higher spectral resolution without a dedicated acquisition hardware and camera. Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction (MST++) is a state-of-the-...
Saved in:
| Main Authors: | Ana C. Caznok Silveira, Diedre S. do Carmo, Lucas H. Ueda, Denis G. Fantinato, Paula D. P. Costa, Leticia Rittner |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Signal Processing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10900394/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Towards using smartphones as hyperspectral cameras
by: D. Reutsky, et al.
Published: (2025-02-01) -
BinaryViT: Binary Vision Transformer for Hyperspectral Image Classification
by: Xiang Hu, et al.
Published: (2025-01-01) -
Recent Advancements in Hyperspectral Image Reconstruction from a Compressive Measurement
by: Xian-Hua Han, et al.
Published: (2025-05-01) -
Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors
by: Chipeng Cao, et al.
Published: (2024-12-01) -
Tensor Adaptive Reconstruction Cascaded With Global and Local Feature Fusion for Hyperspectral Target Detection
by: Xiaobin Zhao, et al.
Published: (2025-01-01)