{"title":"目标多重光照下的微波层析成像迭代算法","authors":"A. Kundu, B. Bandyopadhyay","doi":"10.1109/AEMC.2007.4638024","DOIUrl":null,"url":null,"abstract":"An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. This algorithm is based on Levenberg-Merquardt regularization technique with multiple illuminations of the target. It produces better reconstructed image of numerical model under noisy condition in comparison to that developed by our previous algorithms.","PeriodicalId":397229,"journal":{"name":"2007 IEEE Applied Electromagnetics Conference (AEMC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An iterative algorithm for microwave tomography using multiple illuminations of the target\",\"authors\":\"A. Kundu, B. Bandyopadhyay\",\"doi\":\"10.1109/AEMC.2007.4638024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. This algorithm is based on Levenberg-Merquardt regularization technique with multiple illuminations of the target. It produces better reconstructed image of numerical model under noisy condition in comparison to that developed by our previous algorithms.\",\"PeriodicalId\":397229,\"journal\":{\"name\":\"2007 IEEE Applied Electromagnetics Conference (AEMC)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Applied Electromagnetics Conference (AEMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEMC.2007.4638024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Applied Electromagnetics Conference (AEMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEMC.2007.4638024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An iterative algorithm for microwave tomography using multiple illuminations of the target
An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. This algorithm is based on Levenberg-Merquardt regularization technique with multiple illuminations of the target. It produces better reconstructed image of numerical model under noisy condition in comparison to that developed by our previous algorithms.