CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging
Chinese Academy of Sciences · Aerospace Information Research Institute · +11 more institutions
Abstract
Computational hyperspectral imaging (CHI) is a cutting-edge technique, which plays a pivotal role in breaking through the quality bottleneck of hyperspectral images (HSI). Among the techniques employed in this domain, the coded aperture snapshot spectral imaging (CASSI) system holds widespread recognition. Nevertheless, the imaging capability of CASSI remains limited due to the hardware conditions and the fragility of outcomes associated with the ill-posed blind reconstruction process. To this end, we propose a novel cascaded transformer architecture, termed CasFormer, specifically crafted for fusion-aware CHI by means of a dual-imaging mechanism. CasFormer facilitates the effective enhancement of…
Citation impact
- FWCI
- 48.01
- Percentile
- 100%
- References
- 61
Authors
7- CLChenyu Li
Chinese Academy of Sciences, Aerospace Information Research Institute, Southeast University
- BZBing ZhangCorresponding
Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences
- DHDanfeng HongCorresponding
Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences
- JZJun Zhou
Griffith University
- GVGemine Vivone
National Research Council - Institute of Methodologies for Environmental Analysis, National Research Council
Topics & keywords
- Hyperspectral imaging
- Computer science
- Fusion
- Transformer
- Artificial intelligence
- Computer vision
- Electrical engineering
- Engineering