In:
Journal of Earthquake and Tsunami, World Scientific Pub Co Pte Ltd, Vol. 05, No. 04 ( 2011-11), p. 389-399
Abstract:
The development of remote sensing technology, especially the availability of high-resolution satellite imagery, has been applied to building recognition, hazard investigation and rapid pre-evaluation in post-earthquake management. Existing pixel-oriented approaches which are commonly used for satellite high-resolution imagery have limitations in information extraction, ground object classification, and processing speed. This paper presents an object-oriented method to extract earthquake-damaged building information using high-resolution remote sensing imagery of the 5.12 Wenchuan Earthquake. This method segmented the whole image into non-intersecting pieces of image objects, and then classified these pieces to extract damaged/undamaged buildings using image features such as spectral characters, textures, shapes, and their contexts. The results show a higher-precision classification than conventional methods.
Type of Medium:
Online Resource
ISSN:
1793-4311
,
1793-7116
DOI:
10.1142/S1793431111001157
Language:
English
Publisher:
World Scientific Pub Co Pte Ltd
Publication Date:
2011
detail.hit.zdb_id:
2380408-7
SSG:
16,13
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