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Proceedings Paper

Fast residential area extraction from remote sensing image based on Log-Gabor filter
Author(s): Jie Xiao; Chao Cai
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Paper Abstract

Monitoring urbanization may help government agencies and urban region planners in updating land maps and forming long-term plans accordingly. In this paper, a novel method for fast extracting residential area from remote sensing images based on log-Gabor filter was proposed. The method is divided in three steps. Firstly, we detect the edge-oriented urban characteristics in a remote sensing image using log-Gabor filter. Secondly, with the filtering orientations perpendicular to each other, we choose two log-Gabor filter response images to suppress the noise and acquire a smooth spatial region. Thirdly, a set of smooth regions served as residential areas can be extracted using Otsu's method. We tested it on diverse aerial and satellite images and encouraging results were acquired. The comparison of our method with the classical texture analyzing method of co-occurrence matrix demonstrated its superiority.

Paper Details

Date Published: 2 December 2011
PDF: 5 pages
Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80040Y (2 December 2011); doi: 10.1117/12.902058
Show Author Affiliations
Jie Xiao, Huazhong Univ. of Science and Technology (China)
Wuchang Univ. of Technology (China)
Chao Cai, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8004:
MIPPR 2011: Pattern Recognition and Computer Vision
Jonathan Roberts; Jie Ma, Editor(s)

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