Synthetic aperture radar automatic target recognition based on curvelet transform

Shuang Wang; Zhuo Liu; Licheng Jiao; Jun He

doi:10.1117/12.832815

30 October 2009 Synthetic aperture radar automatic target recognition based on curvelet transform

Shuang Wang, Zhuo Liu, Licheng Jiao, Jun He

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951K (2009) https://doi.org/10.1117/12.832815
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

A novel synthetic aperture radar (SAR) automatic target recognition (ATR) approach based on Curvelet Transform is proposed. However, the existing approaches can not extract the more effective feature. In this paper, our method is concentrated on a new effective representation of the moving and stationary target acquisition and recognition (MSTAR) database to obtain a more accurate target region and reduce feature dimension. Firstly, MSTAR database can be extracted feature through the optimal sparse representation by curvelets to obtain a clear target region. However, considering the loss of part of edges of image. We extract coarse feature, which is to compensate fine feature error brought by segmentation. The final features consisting of fine and coarse feature are classified by SVM with Gaussian radial basis function (RBF) kernel. The experiments show that our proposed algorithm can achieve a better correct classification rate.

Citation Download Citation

Shuang Wang, Zhuo Liu, Licheng Jiao, and Jun He "Synthetic aperture radar automatic target recognition based on curvelet transform", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951K (30 October 2009); https://doi.org/10.1117/12.832815

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available