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

Mauro Dalla Mura*, Jon Atli Benediktsson, Lorenzo Bruzzone

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

36 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationMathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Proceedings
Pages320-330
Number of pages11
DOIs
Publication statusPublished - 2011
Event10th International Symposium on Mathematical Morphology, ISMM 2011 - Verbania-Intra, Italy
Duration: 6 Jul 20118 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6671 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Symposium on Mathematical Morphology, ISMM 2011
Country/TerritoryItaly
CityVerbania-Intra
Period6/07/118/07/11

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