| ???????????????????????SAR???仯??????о? |
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| 引用本文： | 韩晶,邓喀中,李北城.???????????????????????SAR???仯??????о?[J].大地测量与地球动力学,2012,32(4):94-98. |
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| 作者姓名： | 韩晶 邓喀中 李北城 |
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| 作者单位： | 1. 中国矿业大学环境与测绘学院 徐州 221116;中国矿业大学国土环境与灾害监测国家测绘局重点实验室,徐州221116
2. 中国矿业大学环境与测绘学院 徐州 221116 |
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| 基金项目： | 高等学校博士学科点专项科研基金(20090095110002);国家自然科学基金(41071273);中央高校基本科研业务费专项(2010QNA21);矿山空间信息技术国家测绘局重点实验室(河南理工大学,河南省测绘局)开放基金(KLM200909) |
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| 摘 要： | ????????????????SAR??????????????????????????????????????????????????????????????????????????????????????????????????????????????仯?????????????????????????仯????????????????????????????????????????EM????????????????в????????????????????С????????б仯????????????????????????仯????????б?????????????????????????????????仯??????????????????????????????С?????и??????Ч????
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| 关 键 词： | SAR??? ?????????? ????????? ??????С?????? ?仯?????? |
SAR IMAGE CHANGE DETECTION METHODS BASED ON GLCM TEXTURE FEATURES |
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| Han Jing
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Deng Kazhong
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Li Beicheng.SAR IMAGE CHANGE DETECTION METHODS BASED ON GLCM TEXTURE FEATURES[J].Journal of Geodesy and Geodynamics,2012,32(4):94-98. |
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| Authors: | Han Jing Deng Kazhong Li Beicheng |
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| Institution: | 1) 1)School of Environment Science and Spatial Informatics,CUMT,Xuzhou 2211162)China University of Mining and Technology,Key Laboratory for Land Environment and Disaster Monitoring of SBSM,Xuzhou 221116 |
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| Abstract: | The authors found difference images based on the contrast can stand out changed information better using texture features extraction of SAR images based on gray level co-ocurrence matrix,to analyze the principle of the GLCM,feature vectors and the characteristic parameters determined,logarithmic ratio operator constructed difference images,we made the difference images based on the contrast as the base of change detection.As the images in accordance with the Gaussian mixture model,so we estimate the parameters of the Gaussian mixture model with expectation maximum(EM) algorithm,and then use Bayesian minimum error rate to extract change information,finally compare it with the change detection results based on the pixel grayscale value.The test proved that the change detection method based on GLCM texture features has the lower false alarm rate,the lower missing rate,the smaller overall error and better detection effect. |
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| Keywords: | SAR image gray level co-ocurrence matrix expectation maximum(EM)algorithm Bayesian minimum error rate change information extraction |
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