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电子学报  2014 

遥感图像建筑物识别及变化检测方法

DOI: 10.3969/j.issn.0372-2112.2014.04.005, PP. 653-657

Keywords: 识别,变化检测,配准,SAR图像,全色图像

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Abstract:

针对单独使用像素级变化检测或特征级变化检测对于高层建筑物检测精度低的问题,提出了一种图像特征和经验知识结合的建筑物识别及变化检测方法,用于检测多时相遥感图像中高层建筑物的变化情况.首先采用本文提出的Ratio梯度与交叉累积剩余熵相结合的配准算法配准两个不同时相的SAR和全色图像,分别利用知识规则识别SAR和全色图像建筑物区域,在识别的建筑物区域上,采用像素比值法进行建筑物变化检测.实验结果表明,该方法可以有效提高建筑物的检测正确率,降低虚检率和漏检率.

References

[1]  Touzi R,Lopes A,Bousquet P.A statistical and geometrical edge detector for SAR images[J].IEEE Transactions on Geoscience and Remote Sensing,1988,26(6):764-773.
[2]  F Wang,B Vemuri.Non-rigid multi-modal image registration using cross cumulative residual entropy[J].International Journal of Computer Vision,2007,74(2):201-215.
[3]  刘云华,屈春燕,单新建,等.SAR遥感图像在汶川地震灾害识别中的应用[J].地震学报,2010,32(2):214-223. Liu Yunhua,Qu Chunyan,Shan Xinjian,et al.Application of SAR data to damage identification of the Wenchuan earthquake[J].Acta Seismologica Sinica,2010,32(2):214-223.(in Chinese)
[4]  Balz T,Liao M S.Building-damage detection using post-seismic high-resolution SAR satellite data[J].International Journal of Remote Sensing,2010,31(13):3369-3391.
[5]  刘小洲.高分辨率遥感图像的变化检测技术研究[D].湖南长沙:国防科学技术大学,2007. Liu Xiao-zhou.Change detection technology from high resolution remote sensing image[D].Changsha,Hunan:National University of Defense Technology,2007.(in Chinese)
[6]  Wang Min,Zhang Xingyue.Change detection using high spatial resolution remotely sensed imagery by combining evidence theory and structural similarity[J].Journal of Remote Sensing,2010,14(3):558-570.
[7]  唐朴谦,杨建宇.基于像素比值的面向对象分类后遥感变化检测方法[J].遥感信息,2010,1:69-72. Tang Pu-qian,Yang Jian-yu.An object-oriented post-classification remote sensing change detection after the pixel ratio[J].Remote Sensing Information,2010,1:69-72.(in Chinese)

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