数据采集与处理2017，Vol.32Issue(2)：417-423,7.DOI:10.16337/j.1004-9037.2017.02.024
高分辨率遥感图像灾区建筑物检测
Building Detection in Disaster Area from Remote Sensing Image with High Resolution
摘要
Abstract
Building detection in disaster area is pivotal in collecting disaster information and implementing post disaster rescue.Aiming at detecting buildings in disaster area from remote sensing images wtih high-resolution,an improved multi-directional and multi-scale segmentation algorithm based on morphological features is proposed to implement automated detection of buildings in disaster area.Firstly,we integrate the properties of morphological operators (e.g.,reconstruction,granularity,and directionality) into the implicit characteristics of buildings (e.g.,brightness,size,and contrast) to extract bright and high-contrast buildings.Then,the regional image edge information is combined to extract potential buildings.Experimental results show that the proposed method has a higher detection rate and a low false rate in detecting buildings of disaster area.关键词
建筑物检测/图像分割/遥感图像/建筑物形态算子Key words
building detection/image segmentation/remote sensing image/morphological building index分类
信息技术与安全科学引用本文复制引用
陈浩,曹国..高分辨率遥感图像灾区建筑物检测[J].数据采集与处理,2017,32(2):417-423,7.基金项目
国家自然科学基金(61003108/61371168)资助项目 （61003108/61371168）
公安部应用创新计划(2013YYCXGASS097)资助项目. （2013YYCXGASS097）
