ISAR Super-resolution imaging method based on improved Contourlet Transform

doi:10.13190/jbupt.201202.77.luy

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (2): 77-81.doi: 10.13190/jbupt.201202.77.luy

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ISAR Super-resolution imaging method based on improved Contourlet Transform

LU Yan^1,2,PAN Ying-jun¹,TAO Rong-hui³,CAI Ying-wu³

1. College of Opto-Electronic Engineering, Chongqing University, Chongqing 400044, China;2. College of Mechanical and Electrical Engineering, Chongqing Radio and Television University, Chongqing 400052, China;3. Institute of Electronic Engineering, China Academy of Engineering Physics, Sichuan Mianyang 621900, China

Received:2011-06-09 Revised:2011-08-29 Online:2012-04-28 Published:2012-01-05
Contact: Yan LU E-mail:loisyan@sohu.com

Abstract

Abstract:

Considering the poor imaging caused by limited inverse synthetic aperture radar (ISAR) echo data of real target, a new super-resolution algorithm based on improved contourlet transform （CT） is proposed to achieve ISAR super-resolution imaging. It is realized by nonsubsampled contourlet decomposition to extract high-frequency information from ISAR echo data in different directions based on scale invariant feature. Then decomposition levels of CT are constructed with the high-frequency information in different directions and raw echoed data. Contourlet reconstruction is used to expand ISAR echo signal in scale. It shows that ISAR image using this method will be with great advantages of reflecting YAK42 airplane information in detail and improving imaging quality over that using interpolation method, which validates the validity of this method.

Key words: super-resolution, contourlet transform, inverse synthetic aperture radar, radar imaging

CLC Number:

TP391

References

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ISAR Super-resolution imaging method based on improved Contourlet Transform

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