An automatic target recognition system based on SAR image

Qinfu Li; Jinquan Wang; Bo Zhao; Furen Luo; Xiaojian Xu

doi:10.1117/12.832953

30 October 2009 An automatic target recognition system based on SAR image

Qinfu Li, Jinquan Wang, Bo Zhao, Furen Luo, Xiaojian Xu

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74953V (2009) https://doi.org/10.1117/12.832953
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In this paper, an automatic target recognition (ATR) system based on synthetic aperture radar (SAR) is proposed. This ATR system can play an important role in the simulation of up-to-data battlefield environment and be used in ATR research. To establish an integral and available system, the processing of SAR image was divided into four main stages which are de-noise, detection, cluster-discrimination and segment-recognition, respectively. The first three stages are used for searching region of interest (ROI). Once the ROIs are extracted, the recognition stage will be taken to compute the similarity between the ROIs and the templates in the electromagnetic simulation software National Electromagnetic Scattering Code (NESC). Due to the lack of the SAR raw data, the electromagnetic simulated images are added to the measured SAR background to simulate the battlefield environment8. The purpose of the system is to find the ROIs which can be the artificial military targets such as tanks, armored cars and so on and to categorize the ROIs into the right classes according to the existing templates. From the results we can see that the proposed system achieves a satisfactory result.

Citation Download Citation

Qinfu Li, Jinquan Wang, Bo Zhao, Furen Luo, and Xiaojian Xu "An automatic target recognition system based on SAR image", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953V (30 October 2009); https://doi.org/10.1117/12.832953

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