Title
Refined Pan-Sharpening With NSCT and Hierarchical Sparse Autoencoder.
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 Li100.68
Fang Liu21188125.46
Shuyuan Yang324425.24
Kai Zhang4244.64
Xiaomeng Su500.34
Licheng Jiao65698475.84