High-resolution remote sensing image building change detection using structural objects

doi:10.13474/j.cnki.11-2246.2021.0169

Abstract

Abstract: According to the building with rich corner points and regular appearance shape characteristics, a method of building change detection based on line segment information to generate the basic unit of building change detection—the structural surface object is proposed.The edge lines and roof contour lines of buildings are extracted from high-resolution remote sensing images,then the structural surface objects are generated and the corresponding feature information is extracted from the two-phase images. And then,we obtain the changed building area through supervised classification. The experimental results show that the use of structural surface objects for building change detection can better cover the surface of the changed building and the object edge detection effect is better.

Key words: building change detection, the structural object, line feature, structural feature, superpixel

CLC Number:

P237

LIU Haifei, YANG Minhua, WANG Jing, XU Gang, CHEN Jie. High-resolution remote sensing image building change detection using structural objects[J]. Bulletin of Surveying and Mapping, 2021, 0(6): 16-20.

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