COMPRESSIVE SENSING IMAGE FUSION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM
In order to solve the problem that the spatial matching is difficult and the spectral distortion is large in traditional pixel-level image fusion algorithm. We propose a new method of image fusion that utilizes HIS transformation and the recently developed theory of compressive sensing that is calle...
| Huvudupphovsmän: | , , , |
|---|---|
| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Copernicus Publications
2017-09-01
|
| Serie: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Länkar: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/785/2017/isprs-archives-XLII-2-W7-785-2017.pdf |