Title
Superresolution Reconstruction of Multispectral Data for Improved Image Classification
Abstract
In this letter, the application of superresolution (SR) techniques to multispectral image clustering and classification is investigated and tested using satellite data. A set of multispectral images with better spatial resolution is obtained after an SR technique is applied to several data sets recorded within a short period over a study area. Improved clustering and classification performance is ...
Year
DOI
Venue
2009
10.1109/LGRS.2009.2023604
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Image resolution,Image reconstruction,Image classification,Spatial resolution,Strontium,Multispectral imaging,Satellites,Testing,Interpolation,Remote sensing
Iterative reconstruction,Computer vision,Data set,Interpolation,Multispectral image,Remote sensing,Multispectral pattern recognition,Artificial intelligence,Cluster analysis,Contextual image classification,Image resolution,Mathematics
Journal
Volume
Issue
ISSN
6
4
1545-598X
Citations 
PageRank 
References 
2
0.47
7
Authors
3
Name
Order
Citations
PageRank
Feng Li1636.95
Xiuping Jia21424126.54
Donald Fraser3788.29