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Content Provider | IEEE Xplore Digital Library |
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Author | Zaidao Wen Biao Hou Shuang Wang |
Copyright Year | 2013 |
Description | Author affiliation: Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xi'an, China (Zaidao Wen; Biao Hou; Shuang Wang) |
Abstract | In this paper, an effective prior knowledge based framework for target reconstruction from compressive measurements is proposed. In this framework, a traditional compressed imaging method is firstly introduced which indicates that for a range cell containing K strongest scattering points can be reconstructed based on the theory of compressive sensing. Secondly, a greedy iteration algorithm is modified which utilizes some prior knowledge of the target during the reconstruction step. The experiments are carried on the Moving and Stationary Target Acquisition and Recognition (MSTAR) database and the results show the effectiveness of our framework for target reconstruction. |
Sponsorship | IEEE Geosci. Remote Sens. Soc. |
Starting Page | 3167 |
Ending Page | 3170 |
File Size | 215969 |
Page Count | 4 |
File Format | |
ISBN | 9781479911141 |
ISSN | 21536996 |
DOI | 10.1109/IGARSS.2013.6723499 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-21 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image reconstruction Synthetic aperture radar Image coding Reconstruction algorithms Scattering Compressed sensing Matching pursuit algorithms SAR Compressed Imaging Target Reconstruction |
Content Type | Text |
Resource Type | Article |
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