Building Damage Detection Based on Single-Phase High-Resolution Remote Sensing Images

Abstract:

This paper presents a building detection approach based on HSV color space. The method is based on the gray level histogram features, which can separate the housing construction units from complex background. A building damage detection algorithm based on regional statistical information is also proposed in this paper, and a set of performance parameters of feature vector is studied to identify the extent of the housing collapse. The experiments on Haiti post-earthquake images from Google Earth and Yushu post-earthquake images from Internet are discussed in the paper. The experimental results show that proposed approach is effective and feasible.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 6422-6429
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.6422
• Online since: January 2012
• Authors: Hong Zhang
• Keywords: High-Resolution, HSV Model, Mean Substitution, Single-Phase, Texture Features

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