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Journal of Applied Remote Sensing • new

Efficient moving target analysis for inverse synthetic aperture radar images via joint speeded-up robust features and regular moment
Author(s): Hongxin Yang; Fulin Su
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Paper 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.

Paper Details

Date Published: 8 March 2018
PDF: 15 pages
J. Appl. Rem. Sens. 12(1) 015019 doi: 10.1117/1.JRS.12.015019
Published in: Journal of Applied Remote Sensing Volume 12, Issue 1
Show Author Affiliations
Hongxin Yang, Harbin Institute of Technology (China)
Fulin Su, Harbin Institute of Technology (China)


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