Abstract | ||
---|---|---|
Most of available pan-sharpening technologies suffer from spectral and spatial distortions, for the coarse extraction from Panchromatic (Pan) image and brute injection of details to multispectral (MS) images. In this paper, in order to reduce the color distortion and enhance the spatial information of fused images, we propose a refined pan-sharpening (RPS) method using geometric multiscale analysi... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/JSTARS.2016.2584142 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Distortion,Image restoration,Multispectral imaging,Spatial resolution | Spatial analysis,Sharpening,Computer vision,Autoencoder,Pattern recognition,Panchromatic film,Multispectral image,Coding (social sciences),Artificial intelligence,Distortion,Contourlet,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 12 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hong Li | 1 | 0 | 0.68 |
Fang Liu | 2 | 1188 | 125.46 |
Shuyuan Yang | 3 | 244 | 25.24 |
Kai Zhang | 4 | 24 | 4.64 |
Xiaomeng Su | 5 | 0 | 0.34 |
Licheng Jiao | 6 | 5698 | 475.84 |