Title
On the Use of Feature Selection for Classifying Multitemporal Radarsat-1 Images for Forest Mapping.
Abstract
As the number of satelliteborne SAR systems increases, both the availability and the length of multitemporal (MT) sequences of SAR images have also increased. Reported research with MT SAR sequences suggests that they increase the classification accuracy for all applications over single-date images. The length of the MT SAR sequences reported in the literature is still quite modest: on the order o...
Year
DOI
Venue
2011
10.1109/LGRS.2011.2140311
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Accuracy,Remote sensing,Speckle,Spatial resolution,Synthetic aperture radar,Feature extraction,Scattering
Time series,Feature selection,Synthetic aperture radar,Remote sensing,Artificial intelligence,Contextual image classification,Computer vision,Radar imaging,Pattern recognition,Feature extraction,SIMPLE algorithm,Image resolution,Mathematics
Journal
Volume
Issue
ISSN
8
5
1545-598X
Citations 
PageRank 
References 
2
0.38
12
Authors
3
Name
Order
Citations
PageRank
Yasser Maghsoudi16410.26
Michael J. Collins216324.59
Donald G. Leckie3316.62