Local Detection of Moving Targets in SAR Image Based on NRS Hypotheses

• Published in: IEEE transactions on geoscience and remote sensing 2018-10, Vol.56 (10), p.6101-6110
• Main Author: Vu, Viet Thuy
• Format: Article
• Language: English
• Subjects: Airborne remote sensing; Airborne sensing; Azimuth; Clutter; Clutter (information theory); Complex SAR images; Detection; Doppler effect; Focusing; Ground moving target indication; Ground moving target indication (GMTI); Ground moving targets; History; Hypotheses; Image detection; Likelihood ratios; likelihood-ratio; Low-frequency; Methods; Moving targets; normalized relative speed (NRS); Radar imaging; Relative speed; SAR (radar); Synthetic aperture radar; synthetic aperture radar (SAR); Target detection; Target recognition; Trajectories; Trajectory; Ultra-wideband (UWB); Ultrawideband; ultrawideband ultrawidebeam (UWB)
• ISSN: 0196-2892; 1558-0644; 1558-0644
• DOI: 10.1109/TGRS.2018.2831908

Ground moving target indication (GMTI) is one of the important applications of synthetic aperture radar (SAR). This paper introduces a GMTI method for local detection of the ground moving targets in SAR image based on normalized relative speed (NRS) hypotheses. The input of the GMTI method is a complex SAR image where areas of interest for GMTI are locally selected. The output of the method includes the detected targets, the NRSs with respect to the SAR platform, the locations where the detected targets are focused, and the SAR images of the detected targets. The mathematical background of the GMTI method is presented in detail. The method is validated with the data delivered by the Coherent All-Radio Band Sensor, an airborne ultrawideband-ultrawidebeam low-frequency SAR system. The shortcomings of the introduced method are investigated and followed with the solutions.