| Full text | |
| Author(s): |
dos Santos, J. A.
;
Faria, F. A.
;
Torres, R. da S.
;
Rocha, A.
;
Gosselin, P-H.
;
Philipp-Foliguet, S.
;
Falcao, A.
;
IEEE
Total Authors: 8
|
| Document type: | Journal article |
| Source: | 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012); v. N/A, p. 4-pg., 2012-01-01. |
| 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. (AU) | |
| FAPESP's process: | 10/14910-0 - Evidence-Fusion Methods for Multimedia Retrieval and Classification |
| Grantee: | Fabio Augusto Faria |
| Support Opportunities: | Scholarships in Brazil - Doctorate |