Descriptor Correlation Analysis for Remote Sensing Image Multi-Scale Classification

Jefersson Alex dos Santos (1) , Augusto Faria Fábio (1) , Ricardo da Silva Torres (1) , Anderson Rocha (1) , Philippe-Henri Gosselin (2) , Sylvie Philipp-Foliguet (3) , Alexandre Xavier Falcao (1)

1 RECOD - REasoning for Complex Data
2 MIDI - Multimedia Indexation and Data Integration
3 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes

This paper addresses the problem of remote sensing image multi-scale classification by: (i) showing that us- ing multiple scales does improve classification results, but not all scales have the same importance; (ii) show- ing that image descriptors do not offer the same contri- bution at all scales, as commonly thought, and some of them are very correlated; (iii) introducing a simple ap- proach to automatically select segmentation scales, de- scriptors, and classifiers based on correlation and ac- curacy analysis.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Jefersson Alex dos Santos, Augusto Faria Fábio, Ricardo da Silva Torres, Anderson Rocha, Philippe-Henri Gosselin, et al.. Descriptor Correlation Analysis for Remote Sensing Image Multi-Scale Classification. International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. ⟨hal-00753162⟩