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Proceedings Paper

Modeling structural information for building extraction with morphological attribute filters
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Paper Abstract

In this paper we propose to model the structural information in very high geometrical resolution optical images with morphological attribute filters. In particular we propose to perform a multilevel analysis based on different features of the image in contraposition to the use of conventional morphological profiles. We show how morphological attribute filters are conceptually and experimentally more capable to describe the characteristics of buildings with respect to morphological filters by reconstruction. Furthermore, we address the issue of selecting the most suitable parameters of the filters by proposing an architecture which embeds in the filtering procedure an optimization step based on genetic algorithms. The effectiveness of the proposed technique is stated by the experiments which were carried out on a panchromatic image acquired by the Quickbird satellite.

Paper Details

Date Published: 28 September 2009
PDF: 9 pages
Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747703 (28 September 2009); doi: 10.1117/12.836021
Show Author Affiliations
M. Dalla Mura, Univ. degli Studi di Trento (Italy)
Univ. of Iceland (Iceland)
J. A. Benediktsson, Univ. of Iceland (Iceland)
L. Bruzzone, Univ. degli Studi di Trento (Italy)

Published in SPIE Proceedings Vol. 7477:
Image and Signal Processing for Remote Sensing XV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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