Self-dual attribute profiles for the analysis of remote sensing images

Authors:
Mauro Dalla Mura;Jon Atli Benediktsson;Lorenzo Bruzzone
Affiliations:
Department of Information Engineering and Computer Science, Povo, Trento, Italy and Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland;Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland;Department of Information Engineering and Computer Science, Povo, Trento, Italy
Venue:
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Year:
2011

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Abstract

The spatial relations are essential information that should be considered when analyzing remote sensing images. Attribute profiles (combinations of an anti-granulometry and a granulometry computed with connected operators based on attributes) can be employed for the modeling of the spatial information of the surveyed scene. In this paper we propose self-dual attribute profiles which are attribute profiles computed on an inclusion tree with self-dual operators. The proposed variant of the attribute profile was effectively considered for the classification of a very high geometrical resolution remote sensing image.