SpectralGPT: Spectral Remote Sensing Foundation Model
Chinese Academy of Sciences · Aerospace Information Research Institute · +17 more institutions
Abstract
The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner. While most foundation models are tailored to effectively process RGB images for various visual tasks, there is a noticeable gap in research focused on spectral data, which offers valuable information for scene understanding, especially in remote sensing (RS) applications. To fill this gap, we created for the first time a universal RS foundation model, named SpectralGPT, which is purpose-built to handle spectral RS images using a novel 3D generative pretrained transformer (GPT). Compared to existing foundation models, SpectralGPT 1)…
Citation impact
- FWCI
- 205.81
- Percentile
- 100%
- References
- 46
Authors
14- DHDanfeng HongCorresponding
Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences
- BZBing Zhang
Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences
- XLXuyang Li
Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences
- YLYuxuan Li
Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences
- CLChenyu Li
Chinese Academy of Sciences, Aerospace Information Research Institute, Southeast University
Topics & keywords
- Computer science
- Artificial intelligence
- RGB color model
- Segmentation
- Field (mathematics)
- Computer vision
- Pattern recognition (psychology)