{"title":"基于纹理分析的道路提取","authors":"Gu Hui, Lou Jilin, Lu Yaya","doi":"10.1109/ICAT.2006.113","DOIUrl":null,"url":null,"abstract":"In this paper, an automatic method for road network extraction from high resolution aerial image is presented, the recommended input is merely the color image. The modified technique, TPA, and a new way of initial road point extraction are applied. The whole method consists of three modules: 1) the first road detection; 2) statistics and fusing; 3) the second road detection, evaluating and completing the final result","PeriodicalId":133842,"journal":{"name":"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Road Extracting Based on Texture Analysis\",\"authors\":\"Gu Hui, Lou Jilin, Lu Yaya\",\"doi\":\"10.1109/ICAT.2006.113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an automatic method for road network extraction from high resolution aerial image is presented, the recommended input is merely the color image. The modified technique, TPA, and a new way of initial road point extraction are applied. The whole method consists of three modules: 1) the first road detection; 2) statistics and fusing; 3) the second road detection, evaluating and completing the final result\",\"PeriodicalId\":133842,\"journal\":{\"name\":\"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAT.2006.113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAT.2006.113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, an automatic method for road network extraction from high resolution aerial image is presented, the recommended input is merely the color image. The modified technique, TPA, and a new way of initial road point extraction are applied. The whole method consists of three modules: 1) the first road detection; 2) statistics and fusing; 3) the second road detection, evaluating and completing the final result