Seismic Damage Information Extent about the Buildings based on Low-altitude Remote Sensing Images of Mianzu Quake-stricken Areas
Using large-scale true-color images of Zundao Town of Mianzhu quake-hit areas gained form low-altitude remote sensing platforms, the author processed those images based on the 3S and image processing technology, then to presents a new object-oriented scheme of damaged building information extraction in the 5.12 Earthquake from the high-resolution lowaltitude remote sensing in Zundao Town of Mianzhu. The scheme has two steps. The first step is that the whole imagery was segmented into image objects which do not intersect mutually. The second step is that to extract damaged buildings and undamaged ones with the features used to classify, like spectral, texture, shape and context. The experimental results indicate that the fast image processing method of UAV and the new object-oriented information extraction technique have high accuracy compared to the traditional classification methods and have a great application potential.
Low-altitude Remote Sensing Images Object-Oriented Building Seismic Damage Information Extraction
Tao Zeng Wu nian Yang Xiao Dong Li
State key Laboratory of Geo-hazard Prevention and Geo-environment Protection / Institute of RS & GIS College of Water Resource & Hydropower, Sichuan University.Chengdu, Sichuan, 610065, P. R. China
国际会议
上海
英文
1889-1893
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）