{"title":"基于空间结构保持的非刚性图像配准","authors":"Dongsheng Bi, Yanhui Zhu","doi":"10.1109/GEOINFORMATICS.2018.8557191","DOIUrl":null,"url":null,"abstract":"We propose a new non-rigid image registration method with spatial structure Preservation. We added two spatial constraints in the regularization term to maintain the spatial structure in iterations. We tested the proposed method's performance in remote sensing images and low-altitude aerial images, comparing it with three state-of-the-art methods. The results of the experiment show that our method shows the better performance in most cases.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-Rigid Image Registration with Spatial Structure Preservation\",\"authors\":\"Dongsheng Bi, Yanhui Zhu\",\"doi\":\"10.1109/GEOINFORMATICS.2018.8557191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new non-rigid image registration method with spatial structure Preservation. We added two spatial constraints in the regularization term to maintain the spatial structure in iterations. We tested the proposed method's performance in remote sensing images and low-altitude aerial images, comparing it with three state-of-the-art methods. The results of the experiment show that our method shows the better performance in most cases.\",\"PeriodicalId\":142380,\"journal\":{\"name\":\"2018 26th International Conference on Geoinformatics\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 26th International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GEOINFORMATICS.2018.8557191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-Rigid Image Registration with Spatial Structure Preservation
We propose a new non-rigid image registration method with spatial structure Preservation. We added two spatial constraints in the regularization term to maintain the spatial structure in iterations. We tested the proposed method's performance in remote sensing images and low-altitude aerial images, comparing it with three state-of-the-art methods. The results of the experiment show that our method shows the better performance in most cases.