{"title":"映射可见到IR数据的场景匹配","authors":"M. A. Chaudhry, A. Baig, R. Nawaz","doi":"10.1109/IBCAST.2012.6177526","DOIUrl":null,"url":null,"abstract":"Scene matching has become a challenging problem due to multi-temporal and multi-modal image acquisition. There is no direct and linear relation between EO (Electro-optical) and IR (Infra-red) images, which are required to be matched. In this paper, we propose a statistical technique of mapping EO to IR data by transformation function deduced from their gray level distribution. As the proposed technique is statistical and deals with multi-modal data, MI index (Mutual Information) and its variants are more appropriate similarity measures in this case. Therefore, we have used mutual information as a measure of statistical dependence between the two images. Results of MI shows that technique is effective in mapping visible to IR spectrum.","PeriodicalId":251584,"journal":{"name":"Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping of visible to IR data for scene matching\",\"authors\":\"M. A. Chaudhry, A. Baig, R. Nawaz\",\"doi\":\"10.1109/IBCAST.2012.6177526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scene matching has become a challenging problem due to multi-temporal and multi-modal image acquisition. There is no direct and linear relation between EO (Electro-optical) and IR (Infra-red) images, which are required to be matched. In this paper, we propose a statistical technique of mapping EO to IR data by transformation function deduced from their gray level distribution. As the proposed technique is statistical and deals with multi-modal data, MI index (Mutual Information) and its variants are more appropriate similarity measures in this case. Therefore, we have used mutual information as a measure of statistical dependence between the two images. Results of MI shows that technique is effective in mapping visible to IR spectrum.\",\"PeriodicalId\":251584,\"journal\":{\"name\":\"Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IBCAST.2012.6177526\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBCAST.2012.6177526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scene matching has become a challenging problem due to multi-temporal and multi-modal image acquisition. There is no direct and linear relation between EO (Electro-optical) and IR (Infra-red) images, which are required to be matched. In this paper, we propose a statistical technique of mapping EO to IR data by transformation function deduced from their gray level distribution. As the proposed technique is statistical and deals with multi-modal data, MI index (Mutual Information) and its variants are more appropriate similarity measures in this case. Therefore, we have used mutual information as a measure of statistical dependence between the two images. Results of MI shows that technique is effective in mapping visible to IR spectrum.