Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data
Remote sensing hyperspectral images (HSIs) are quite often low rank, in the sense that the data belong to a low dimensional subspace/manifold. This has been recently exploited for the fusion of low spatial resolution HSI with high spatial resolution multispectral images in order to obtain super-reso...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 1 vom: 09. Jan., Seite 274-88
|
|---|
| 1. Verfasser: |
Veganzones, Miguel A
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Simoes, Miguel,
Licciardi, Giorgio,
Yokoya, Naoto,
Bioucas-Dias, Jose M,
Chanussot, Jocelyn |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2016
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
|---|