{"title":"一种基于多尺度特征的高分辨率遥感图像边界细化算法","authors":"Yuan Liu, G. He","doi":"10.1109/WCSP.2009.5371751","DOIUrl":null,"url":null,"abstract":"Multi-scale is a very important feature for people to recognize the world, which is existing in the nature everywhere. The multi-scale analysis can integrate rich information of different levels, with the perfect unit of the easy partition of coarse image and high accuracy of fine image. In this article, an algorithm is proposed which is used to refine the boundary in fine image based on the multi-scale feature. It is proved to be effective through the experiments.","PeriodicalId":244652,"journal":{"name":"2009 International Conference on Wireless Communications & Signal Processing","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An algorithm of boundary refinement based on the multi-scale feature for high resolution remote sensing images\",\"authors\":\"Yuan Liu, G. He\",\"doi\":\"10.1109/WCSP.2009.5371751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-scale is a very important feature for people to recognize the world, which is existing in the nature everywhere. The multi-scale analysis can integrate rich information of different levels, with the perfect unit of the easy partition of coarse image and high accuracy of fine image. In this article, an algorithm is proposed which is used to refine the boundary in fine image based on the multi-scale feature. It is proved to be effective through the experiments.\",\"PeriodicalId\":244652,\"journal\":{\"name\":\"2009 International Conference on Wireless Communications & Signal Processing\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Wireless Communications & Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2009.5371751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wireless Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2009.5371751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm of boundary refinement based on the multi-scale feature for high resolution remote sensing images
Multi-scale is a very important feature for people to recognize the world, which is existing in the nature everywhere. The multi-scale analysis can integrate rich information of different levels, with the perfect unit of the easy partition of coarse image and high accuracy of fine image. In this article, an algorithm is proposed which is used to refine the boundary in fine image based on the multi-scale feature. It is proved to be effective through the experiments.