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Proceedings Paper

Automatic recognition of earthquake-caused building damage in cities using multispectral image fusion
Author(s): Haihui Wang; Hui Du; Minjiang Chen; Aiping Cai
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Paper Abstract

Automatic recognition based on image fusion techniques are widely used to integrate a lower spatial resolution multispectral image with a higher spatial resolution panchromatic image. The earthquake events were first researched after the Kocaeli Earthquake of 1999 show that the spatial images from various satellites could be exploited. The remote sensing which in terms of spatial resolution and data processing open new possibilities concerning the natural hazard assessment. However, the existing techniques either cannot avoid distorting the image spectral properties or involve complicated and time-consuming frequency decomposition and re-construction processing. To address these problems, we present our study on a HIS transform and intensity modulation algorithm. The algorithm is further optimized a proposed objective of minimizing error rate. Experiments in recognition of building damage due to earthquakes applications show that the algorithm provides better recognition accuracy than others. Although some environment problems, such as the influence of sunshine need further research, the proposed method can benefit further study of the application.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678621 (15 November 2007); doi: 10.1117/12.749295
Show Author Affiliations
Haihui Wang, Wuhan Institute of Technology (China)
Hui Du, Wuhan Institute of Technology (China)
Minjiang Chen, Wuhan Institute of Technology (China)
Aiping Cai, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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