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Open AccessProceedings Article

Performances analysis of moving target tracking in circular SAR

TLDR
A physical and geometrical analysis of the technique to track moving targets in SAR images with only one sensor and using a circular path is performed and some new results are presented on real data acquired around the city of Nîmes (X band).
Abstract
Ground moving target focusing and tracking using airborne data is a subject of increasing interest. Single antenna processing allows focusing [1] and azimuthal velocity estimation [2][3] under the assumption that the signal-to-clutter ratio (SCR) is high enough (for instance, 14dB in [3]), which is mostly not the case in an urban context. Moreover, these methods are insufficient to geolocalize the moving targets. Acquisition of SAR data over a circular path eliminates this drawback, because objects may be seen at a 360° angle during a longer time than in the case of linear path. A technique to track moving targets in SAR images with only one sensor and using a circular path has been presented in [4]. In this paper, we perform a physical and geometrical analysis of this method and present accuracy evaluations. Finally some new results are presented on real data acquired around the city of Nimes (X band).

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Citations
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Journal ArticleDOI

Ground Moving Target Trajectory Reconstruction in Single-Channel Circular SAR

TL;DR: This paper analyzes the performances of a method that reconstructs the real target trajectory given the apparent positions of the moving target measured on SAR images acquired along a circular trajectory.
Journal ArticleDOI

The Fundamental Trajectory Reconstruction Results of Ground Moving Target From Single-Channel CSAR Geometry

TL;DR: Experimental SAR data processing results show that the method is effective for the moving target trajectory reconstruction, and the dynamic programming algorithm with road information restrain is used.
Proceedings ArticleDOI

Moving Target Detection and Tracking Based on Gmphd Filter in SAR System

TL;DR: A novel moving target detection and tracking approach is presented based on Gaussian mixture probability hypothesis density (GMPHD) filter in synthetic aperture radar (SAR) to detect and track the moving targets in heavy clutter environment.
Proceedings ArticleDOI

Object Detection and Trcacking Based on Convolutional Neural Networks for High-Resolution Optical Remote Sensing Video

TL;DR: The proposed method firstly segments each frame of a video into sub-samples using a sliding window of fixed size, and designs a network fusing region of interests of the previous and current frames to track the objects occurred in the previous frames of the video.
Dissertation

Reconstruction de trajectoires de cibles mobiles en imagerie RSO aéroportée

TL;DR: L’imagerie RSO circulaire aeroportee permet d’obtenir de nombreuses informations sur les zones imagees et sur les cibles mobiles, notamment de vitesse et d”acceleration.
References
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Journal ArticleDOI

Synthetic Aperture Imaging Radar and Moving Targets

TL;DR: In this paper, the effects of slowly moving targets as they appear in the output of an airborne coherent side-looking synthetic aperture imaging radar are considered, and two approaches to airborne moving target indication (AMTI) are summarized.
Book

Handbook of radar scattering statistics for terrain

TL;DR: The Handbook of Radar Scattering Statistics for Terrain this article is a popular reference for radar and remote sensing engineers, and it has been reissued with updated, practical software for modern data analysis applications.
Journal ArticleDOI

Autofocusing of inverse synthetic aperture radar images using contrast optimization

TL;DR: In this article, a number of autofocusing techniques are proposed for motion compensation in inverse synthetic aperture radar (ISAR) imaging of objects based on the optimization of a contrast function, which represents a measure of the degree of focus of the image.
Journal ArticleDOI

Detecting moving targets in SAR imagery by focusing

TL;DR: In this paper, a new method for detecting moving targets in a synthetic aperture radar (SAR) image is presented, which involves segmenting a complex-valued SAR image into patches, focusing each patch separately, and measuring the sharpness increase in the focused patch.
Journal ArticleDOI

Weighted least-squares estimation of phase errors for SAR/ISAR autofocus

TL;DR: A new method of phase error estimation that utilizes the weighted least-squares (WLS) algorithm is presented for synthetic aperture radar (SAR)/inverse SAR (ISAR) autofocus applications, and it is robust for many kinds of scene content.
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