基于遥感影像的农村建筑物分类

利用面向对象的遥感影像信息提取方法对建筑物进行分类研究,选取张家口不同地区5个中等规模农村建筑为研究对象,根据建筑物特征信息从遥感影像上进行提取,根据信息提取调整后的结果进行建筑物分类,并与调研结果进行对比,结果表明:建筑物分类准确率达到80%以上,满足对张家口地区农村建筑物分类的需求,可以用来辅助完成对建筑物结构类型的实地调研,能够有效提高调研效率,服务于建筑物抗震设防调研。

Classification of Rural Buildings in Zhangjiakou Area Based on Remote Sensing Images

This paper studies the classification of buildings by using object-oriented remote sensing image information extraction method. Five medium-sized rural buildings in different areas of Zhangjiakou were selected as research objects. According to the building characteristic information, the building is extracted from the remote sensing image, and the buildings are classified according to the results of information extraction and adjustment, and the classification results are compared with the survey results. After the comparison, the classification accuracy of buildings reached more than 80%, meeting the needs for the classification of rural buildings in Zhangjiakou area. It can be used to assist in the field research of building structure types, which can effectively improve the efficiency of the research and serve the research on seismic fortification of buildings.