{"title":"基于地理和语义特征的遥感图像检索研究","authors":"Li Wei, Weihong Wang, Lu Feng","doi":"10.1109/IASP.2009.5054602","DOIUrl":null,"url":null,"abstract":"Based on geographical and semantic features of remote sensing image, the paper presents a universal remote sensing image data model, and analyzes the logical structure and storage methods of this model. Based on the model, the paper puts forward a remote sensing image retrieval method, and makes analysis of the process of remote sensing image retrieval. At last, on basis of computer and database technology, the method is tested; the test results confirm the validity of the approach.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Research on remote sensing image retrieval based on geographical and semantic features\",\"authors\":\"Li Wei, Weihong Wang, Lu Feng\",\"doi\":\"10.1109/IASP.2009.5054602\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on geographical and semantic features of remote sensing image, the paper presents a universal remote sensing image data model, and analyzes the logical structure and storage methods of this model. Based on the model, the paper puts forward a remote sensing image retrieval method, and makes analysis of the process of remote sensing image retrieval. At last, on basis of computer and database technology, the method is tested; the test results confirm the validity of the approach.\",\"PeriodicalId\":143959,\"journal\":{\"name\":\"2009 International Conference on Image Analysis and Signal Processing\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Image Analysis and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASP.2009.5054602\",\"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 Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2009.5054602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on remote sensing image retrieval based on geographical and semantic features
Based on geographical and semantic features of remote sensing image, the paper presents a universal remote sensing image data model, and analyzes the logical structure and storage methods of this model. Based on the model, the paper puts forward a remote sensing image retrieval method, and makes analysis of the process of remote sensing image retrieval. At last, on basis of computer and database technology, the method is tested; the test results confirm the validity of the approach.