Record Details

Retrieving images for remote sensing applications

DSpace at IIT Bombay

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Field Value
 
Title Retrieving images for remote sensing applications
 
Creator SAWANT, N
CHANDRAN, S
MOHAN, BK
 
Subject texture classification
 
Description A unique way in which content based image retrieval (CBIR) for remote sensing differs widely from traditional CBIR is the widespread occurrences of weak textures. The task of representing the weak textures becomes even more challenging especially if image properties like scale, illumination or the viewing geometry are not known. In this work, we have proposed the use of a new feature 'texton histogram' to capture the weak-textured nature of remote sensing images. Combined with an automatic classifier, our texton histograms are robust to variations in scale, orientation and illumination conditions as illustrated experimentally. The classification accuracy is further improved using additional image driven features obtained by the application of a feature selection procedure.
 
Publisher SPRINGER-VERLAG BERLIN
 
Date 2011-10-23T21:26:18Z
2011-12-15T09:11:05Z
2011-10-23T21:26:18Z
2011-12-15T09:11:05Z
2006
 
Type Proceedings Paper
 
Identifier Computer Vision, Graphics and Image Processing, Proceedings,4338,849-860
978-3-540-68301-8
0302-9743
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15240
http://hdl.handle.net/100/1843
 
Source 5th Indian Conference on Computer Vision, Graphics and Image Processing,Madurai, INDIA,DEC 13-16, 2006
 
Language English