Abstract
Hyperspectral images (HSIs) often suffer from various annoying degradations, which poses huge challenges for the practical applications. Fortunately, clean HSI is intrinsically low-rank, which opens up a broad category of HSI processing and analysis methods with high robustness against the complicated mixture of various noises and outliers. Based on the low rank property of HSI, this paper provides a comprehensive review on restoration, multi-angle registration and unmixing methods for HSIs developed very recently, and insights for further investigations.
Original language | English |
---|---|
Pages | 1-4 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 19 Oct 2017 |
Event | 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) - Los Angeles, United States Duration: 21 Aug 2016 → 24 Aug 2016 |
Workshop
Workshop | 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) |
---|---|
Abbreviated title | WHISPERS 2016 |
Country/Territory | United States |
City | Los Angeles |
Period | 21/08/16 → 24/08/16 |
Keywords
- restoration
- registration
- Low-rank
- hyperpsectral image
- unminxing