A recognition and change detection method for buildings in remote sensing images

被引：0

作者：

Zhang, Yong-Mei ^{[1
]}

Ji, Yan ^{[2
]}

Ma, Li ^{[1
]}

Zhang, Rui ^{[3
]}

Li, Jie-Qiong ^{[1
]}

Xiong, Yan ^{[4
]}

机构：

[1] School of Information Engineering, North China University of Technology

[2] Beijing Institute of Remote Sensing

[3] Key Laboratory of Science and Technology on Electronic Test and Measurement, North University of China, Taiyuan

[4] School of Computer Science and Technology, University of Science and Technology of China, Hefei

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2014年 / 42卷 / 04期

关键词：

Change detection; Panchromatic image; Recognition; Registration; SAR image;

D O I：

10.3969/j.issn.0372-2112.2014.04.005

中图分类号：

学科分类号：

摘要：

For the low accuracy when only using pixel-level or feature-level change detection for high-rise building, a recognition and change detection method combined image features and experience knowledge is presented to detect changes of high-rise building in multi-temporal remote sensing images. We adopted a proposed registration algorithm combined with ratio gradient and crossing accumulative residual entropy to register SAR and panchromatic images with two different phases, identified building regions respectively using knowledge rules and utilized pixel ratio method for building change detection in recognition building regions. Experimental results show the method can effectively improve the accuracy and reduce the false acceptance rate and reject rate.

引用

页码：653 / 657

页数：4

共 7 条

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