| 遥感图像建筑物识别及变化检测方法 |
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| 引用本文： | 张永梅,季艳,马礼,张睿,李洁琼,熊焰.遥感图像建筑物识别及变化检测方法[J].电子学报,2014,42(4):653-657. |
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| 作者姓名： | 张永梅 季艳 马礼 张睿 李洁琼 熊焰 |
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| 作者单位： | 1. 北方工业大学信息工程学院, 北京 100144;
2. 北京遥感信息研究所, 北京 100011;
3. 中北大学电子测试国家重点实验室, 山西太原 030051;
4. 中国科学技术大学计算机科学与技术学院, 安徽合肥 230026 |
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| 基金项目： | 国家科技支撑计划(No.2012BAH04F00);国家自然科学基金(No.61371143);北京市自然科学基金(No.4132026);北京市教委科技发展计划(No.KM201210009006) |
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| 摘 要： | 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.
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| 关 键 词： | 识别 变化检测 配准 SAR图像 全色图像 |
| 收稿时间： | 2013-02-18 |
A Recognition and Change Detection Method for Buildings in Remote Sensing Images |
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| ZHANG Yong-mei,JI Yan,MA Li,ZHANG Rui,LI Jie-qiong,XIONG Yan.A Recognition and Change Detection Method for Buildings in Remote Sensing Images[J].Acta Electronica Sinica,2014,42(4):653-657. |
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| Authors: | ZHANG Yong-mei JI Yan MA Li ZHANG Rui LI Jie-qiong XIONG Yan |
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| Affiliation: | 1. School of Information Engineering, North China University of Technology, Beijing 100144, China;
2. Beijing Institute of Remote Sensing, Beijing 100011, China;
3. Key Laboratory of Science and Technology on Electronic Test & Measurement, North University of China, Taiyuan, Shanxi 030051, China;
4. School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China |
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| Abstract: | 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. |
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| Keywords: | recognition change detection registration SAR image panchromatic image |
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