Seismic Damage Information Extent about the Buildings Based on Low-Altitude Remote Sensing Images of Mianzu Quake-Stricken Areas

Abstract

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 low-altitude 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.