Typical disaster damage target extraction method based on object oriented classification
暂无分享,去创建一个
The extraction of typical targets (such as water, road and damaged buildings) of nature disaster is important to the emergency management, post-disaster damage assessment and disaster monitoring. This paper shows an objected oriented method to extract water, road and building targets in the earthquake of Wenchuan(2008), Yushu(2010) and Haiti(2010). We built the optimal feature sets with spectral features, shape features, texture features and context features. Experiment result shows that this method can extract flood area, road and damaged buildings effectively and achieve a relatively high accuracy. These experimental studies are leading to the opportunity to integrate classical damage survey and image oriented semi-automatic interpretation.
[1] HE Hou-jun. City Road Extraction from High Resolution Remote Sensing Imagery Based on Texture and Mathematical Morphology , 2008 .
[2] Jianwen Ma,et al. Extracting Damaged Buildings Information Automatically Based on Textural and Morphological Features , 2010 .
[3] Xun Wang,et al. Road Extraction in Remote Sensing Images Using a New Algorithm , 2008, 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing.