{"title":"基于最小局部极大值算法的正射影线搜索","authors":"Can Zhong, Yiliu Yang","doi":"10.1117/12.910394","DOIUrl":null,"url":null,"abstract":"Searching for a seamline kept away from area with great differece between overlapping orthoimages is significant for orthoimage mosaic, which is an important step in Digital Orthoimage Map(DOM) production.A method combine Minimizing Local Maximum Algotirhm and Greedy Select Algorithm for seamline searching is introduced. In process of searching, maximum differece along the seam-line is limited. Results show that this method is self-adaptable and is able to accomplish high quality seam-line searching.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Orthoimage seamline searching based on minimizing local maximum algorithm\",\"authors\":\"Can Zhong, Yiliu Yang\",\"doi\":\"10.1117/12.910394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Searching for a seamline kept away from area with great differece between overlapping orthoimages is significant for orthoimage mosaic, which is an important step in Digital Orthoimage Map(DOM) production.A method combine Minimizing Local Maximum Algotirhm and Greedy Select Algorithm for seamline searching is introduced. In process of searching, maximum differece along the seam-line is limited. Results show that this method is self-adaptable and is able to accomplish high quality seam-line searching.\",\"PeriodicalId\":340728,\"journal\":{\"name\":\"China Symposium on Remote Sensing\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China Symposium on Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.910394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Symposium on Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.910394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Orthoimage seamline searching based on minimizing local maximum algorithm
Searching for a seamline kept away from area with great differece between overlapping orthoimages is significant for orthoimage mosaic, which is an important step in Digital Orthoimage Map(DOM) production.A method combine Minimizing Local Maximum Algotirhm and Greedy Select Algorithm for seamline searching is introduced. In process of searching, maximum differece along the seam-line is limited. Results show that this method is self-adaptable and is able to accomplish high quality seam-line searching.