DocumentCode
595374
Title
Descriptor correlation analysis for remote sensing image multi-scale classification
Author
dos Santos, Jefersson A. ; Faria, Fabio A. ; Da S Torres, Ricardo ; Rocha, A. ; Gosselin, Philippe-Henri ; Philipp-Foliguet, Sylvie ; Falcao, Alexandre X
Author_Institution
RECOD Lab., Univ. of Campinas, Campinas, Brazil
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
3078
Lastpage
3081
Abstract
This paper addresses the problem of remote sensing image multi-scale classification by: (i) showing that using multiple scales does improve classification results, but not all scales have the same importance; (ii) showing that image descriptors do not offer the same contribution at all scales, as commonly thought, and some of them are very correlated; (iii) introducing a simple approach to automatically select segmentation scales, descriptors, and classifiers based on correlation and accuracy analysis.
Keywords
correlation theory; geophysical image processing; image classification; image segmentation; remote sensing; accuracy analysis; automatic segmentation scale selection; correlation-based classifiers; descriptor correlation analysis; image descriptors; remote sensing image multiscale classification; Accuracy; Correlation; Image color analysis; Image segmentation; Indexes; Remote sensing; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460815
Link To Document