{"title":"模拟退火法合成孔径成像的空间变反褶积","authors":"M. Robini, T. Rastello, D. Vray, I. Magnin","doi":"10.1109/ICIP.1997.647799","DOIUrl":null,"url":null,"abstract":"The synthetic aperture image formation process can be formulated as a space-variant 2D convolution. The recovery of the original reflection density is an ill-posed inverse problem which is both underdetermined and ill-conditioned. Its stabilization is achieved via concave stabilizers that are well adapted to the preservation of discontinuities. This leads to the minimization of a non-convex functional, a task which is successfully carried out using a Metropolis-type annealing algorithm. For improved performance, we investigate some inexpensive acceleration techniques which do not alter the theoretical convergence results; their efficiency is demonstrated through restorations from simulated data.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"1 1","pages":"432-435 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Space-variant deconvolution for synthetic aperture imaging using simulated annealing\",\"authors\":\"M. Robini, T. Rastello, D. Vray, I. Magnin\",\"doi\":\"10.1109/ICIP.1997.647799\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The synthetic aperture image formation process can be formulated as a space-variant 2D convolution. The recovery of the original reflection density is an ill-posed inverse problem which is both underdetermined and ill-conditioned. Its stabilization is achieved via concave stabilizers that are well adapted to the preservation of discontinuities. This leads to the minimization of a non-convex functional, a task which is successfully carried out using a Metropolis-type annealing algorithm. For improved performance, we investigate some inexpensive acceleration techniques which do not alter the theoretical convergence results; their efficiency is demonstrated through restorations from simulated data.\",\"PeriodicalId\":92344,\"journal\":{\"name\":\"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing\",\"volume\":\"1 1\",\"pages\":\"432-435 vol.1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.1997.647799\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1997.647799","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Space-variant deconvolution for synthetic aperture imaging using simulated annealing
The synthetic aperture image formation process can be formulated as a space-variant 2D convolution. The recovery of the original reflection density is an ill-posed inverse problem which is both underdetermined and ill-conditioned. Its stabilization is achieved via concave stabilizers that are well adapted to the preservation of discontinuities. This leads to the minimization of a non-convex functional, a task which is successfully carried out using a Metropolis-type annealing algorithm. For improved performance, we investigate some inexpensive acceleration techniques which do not alter the theoretical convergence results; their efficiency is demonstrated through restorations from simulated data.