M. Gebril, R. Buaba, A. Homaifar, E. Kihn, M. Zhizhin
{"title":"基于纹理特征提取的卫星图像结构索引检索","authors":"M. Gebril, R. Buaba, A. Homaifar, E. Kihn, M. Zhizhin","doi":"10.1109/AERO.2010.5446704","DOIUrl":null,"url":null,"abstract":"A mixture of feature extraction (FE) and a Locality Sensitive Hashing (LSH) based searching algorithm to search for similarity in satellite imagery is presented. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate satisfactory retrieval efficiency based on the proposed model. The results show the effectiveness of our approach. 1 2","PeriodicalId":378029,"journal":{"name":"2010 IEEE Aerospace Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Structural indexing of satellite images using texture feature extraction for retrieval\",\"authors\":\"M. Gebril, R. Buaba, A. Homaifar, E. Kihn, M. Zhizhin\",\"doi\":\"10.1109/AERO.2010.5446704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A mixture of feature extraction (FE) and a Locality Sensitive Hashing (LSH) based searching algorithm to search for similarity in satellite imagery is presented. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate satisfactory retrieval efficiency based on the proposed model. The results show the effectiveness of our approach. 1 2\",\"PeriodicalId\":378029,\"journal\":{\"name\":\"2010 IEEE Aerospace Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Aerospace Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AERO.2010.5446704\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Aerospace Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AERO.2010.5446704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Structural indexing of satellite images using texture feature extraction for retrieval
A mixture of feature extraction (FE) and a Locality Sensitive Hashing (LSH) based searching algorithm to search for similarity in satellite imagery is presented. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate satisfactory retrieval efficiency based on the proposed model. The results show the effectiveness of our approach. 1 2