Parallel Hyperspectral Image and Signal Processing [Applications Corner]
By Antonio J. Plaza, Javier Plaza, Abel Paz, Sergio Sánchez. 2011
154 citations recorded by the source corpus.
Subfields: Atmospheric Science, Media Technology, Remote Sensing, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Danfeng Hong
- Jing Yao
- Jocelyn Chanussot
- Swalpa Kumar Roy
- Jon Atli Benediktsson
- Shutao Li
- Jun Yu Li
- Pedram Ghamisi
In Media Technology
In Remote Sensing
In Signal Processing
Citations in the corpus
- Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects (2021, background): “However, advanced processing techniques like parallel and distributed architectures [96], [97] and high-performance computing (HPC) [92] make it possible for DNNs to process large amounts of data.”
- Remote Sensing Image Scene Classification Using CNN-CapsNet (2019, background): “, multi/ hyperspectral [1] and synthetic aperture radar [2]) of high-resolution images of the Earth’s surface are readily available.”