{"title":"基于单时分割的多极化SAR图像面向对象变化检测","authors":"Sun Xiaoxia, Z. JiXian, Y. Qin, Zhai Liang","doi":"10.1109/JURSE.2013.6550693","DOIUrl":null,"url":null,"abstract":"Object-oriented change detection is to detect change by comparing the features of image objects. Its key is how to describe the images at two temporal phases with the same segmentation boundries in order to realize the one to one comparision between the two sets of segments from two different images. In this paper, the authors put forward a novel change detection method based on unitemporal image segmentation. This method can well address this problem even without the GIS auxiliary data, and performance well in the change detection of fully polarimetric SAR images.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Object-oriented change detection of multi-polarization SAR images based on unitemporal image segmentation\",\"authors\":\"Sun Xiaoxia, Z. JiXian, Y. Qin, Zhai Liang\",\"doi\":\"10.1109/JURSE.2013.6550693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Object-oriented change detection is to detect change by comparing the features of image objects. Its key is how to describe the images at two temporal phases with the same segmentation boundries in order to realize the one to one comparision between the two sets of segments from two different images. In this paper, the authors put forward a novel change detection method based on unitemporal image segmentation. This method can well address this problem even without the GIS auxiliary data, and performance well in the change detection of fully polarimetric SAR images.\",\"PeriodicalId\":370707,\"journal\":{\"name\":\"Joint Urban Remote Sensing Event 2013\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Joint Urban Remote Sensing Event 2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JURSE.2013.6550693\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Joint Urban Remote Sensing Event 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JURSE.2013.6550693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Object-oriented change detection of multi-polarization SAR images based on unitemporal image segmentation
Object-oriented change detection is to detect change by comparing the features of image objects. Its key is how to describe the images at two temporal phases with the same segmentation boundries in order to realize the one to one comparision between the two sets of segments from two different images. In this paper, the authors put forward a novel change detection method based on unitemporal image segmentation. This method can well address this problem even without the GIS auxiliary data, and performance well in the change detection of fully polarimetric SAR images.
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