Efficient moving target analysis for inverse synthetic aperture radar images via joint speeded-up robust features and regular moment

Hongxin Yang; Fulin Su

doi:10.1117/1.JRS.12.015019

8 March 2018 Efficient moving target analysis for inverse synthetic aperture radar images via joint speeded-up robust features and regular moment

Hongxin Yang, Fulin Su

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 1, 015019 (March 2018). https://doi.org/10.1117/1.JRS.12.015019

Abstract

We propose a moving target analysis algorithm using speeded-up robust features (SURF) and regular moment in inverse synthetic aperture radar (ISAR) image sequences. In our study, we first extract interest points from ISAR image sequences by SURF. Different from traditional feature point extraction methods, SURF-based feature points are invariant to scattering intensity, target rotation, and image size. Then, we employ a bilateral feature registering model to match these feature points. The feature registering scheme can not only search the isotropic feature points to link the image sequences but also reduce the error matching pairs. After that, the target centroid is detected by regular moment. Consequently, a cost function based on correlation coefficient is adopted to analyze the motion information. Experimental results based on simulated and real data validate the effectiveness and practicability of the proposed method.

Citation Download Citation

Hongxin Yang and Fulin Su "Efficient moving target analysis for inverse synthetic aperture radar images via joint speeded-up robust features and regular moment," Journal of Applied Remote Sensing 12(1), 015019 (8 March 2018). https://doi.org/10.1117/1.JRS.12.015019

Received: 25 July 2017; Accepted: 19 February 2018; Published: 8 March 2018

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