Title
An Operational Superresolution Approach for Multi-Temporal and Multi-Angle Remotely Sensed Imagery
Abstract
In this paper we propose an operational superresolution (SR) approach for multi-temporal and multi-angle remote sensing imagery. The method consists of two stages: registration and reconstruction. In the registration stage a hybrid patch-based registration scheme that can account for local geometric distortion and photometric disparity is proposed. Obstacles like clouds or cloud shadows are detect...
Year
DOI
Venue
2012
10.1109/JSTARS.2011.2182505
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Strontium,Remote sensing,Transforms,Image reconstruction,Spatial resolution,Interpolation
Iterative reconstruction,Computer vision,Method of steepest descent,Remote sensing,Interpolation,Deconvolution,Regularization (mathematics),Artificial intelligence,Distortion,Image resolution,Mathematics,Cloud computing
Journal
Volume
Issue
ISSN
5
1
1939-1404
Citations 
PageRank 
References 
13
0.69
20
Authors
3
Name
Order
Citations
PageRank
Jianglin Ma1876.76
Jonathan Cheung-Wai Chan215518.46
Frank Canters317021.66