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28 September 2009 Modeling structural information for building extraction with morphological attribute filters
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Dalla Mura, J. A. Benediktsson, and L. Bruzzone "Modeling structural information for building extraction with morphological attribute filters", Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747703 (28 September 2009); https://doi.org/10.1117/12.836021
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