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A Novel Approach of Slope Detection Combined with Lv’s Distribution for Airborne SAR Imagery of Fast Moving Targets

School of Physics and Electronics, Shandong Normal University, Jinan 250000, China
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Remote Sens. 2018, 10(5), 764; https://doi.org/10.3390/rs10050764
Received: 30 March 2018 / Revised: 8 May 2018 / Accepted: 13 May 2018 / Published: 15 May 2018
(This article belongs to the Section Remote Sensing Image Processing)
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Abstract

This paper presents a fast SAR imagery algorithm for Ground Moving Target Imaging (GMTIm) based on the slope detection strategy combined with Time-Frequency Representation (TFR), which is known as Lv’s Distribution (LVD). This fast imagery algorithm focuses on the solution of the ambiguity problems and relevant heavy computing load in SAR imagery. Firstly, according to the relationship between the slope of the range walk trajectory and the cross-track velocity of moving target, a new high-efficiency slope detection strategy based on gradient and level-line angle is presented in the image domain. Then, the Doppler centroid shift induced by cross-track velocity can also be obtained. Secondly, owing to the cross-track velocity estimated before, the Range Walk Migration Correction (RWMC) can be performed to concentrate the echo response of the moving target into a single range cell. Finally, due to the superior performance in representing multi-component Linear Frequency Modulation (LFM) signal, LVD is adopted here to represent the Doppler chirp rate of multiple moving targets in a Doppler Centroid Frequency and Chirp Rate domain (CFCR). The performance of the proposed algorithm is evaluated in terms of superiority and effectiveness using simulations, and the comparison between the proposed algorithm and the other conventional algorithms is also presented. View Full-Text
Keywords: ground moving target imaging (GMTIm); Airborne Synthetic Aperture Radar; slope detection; lv’s distribution (LVD) ground moving target imaging (GMTIm); Airborne Synthetic Aperture Radar; slope detection; lv’s distribution (LVD)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Zhao, Y.; Han, S.; Yang, J.; Zhang, L.; Xu, H.; Wang, J. A Novel Approach of Slope Detection Combined with Lv’s Distribution for Airborne SAR Imagery of Fast Moving Targets. Remote Sens. 2018, 10, 764.

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