Abstract
Ground-based arc-scanning synthetic aperture radar (ArcSAR) is the novel ground-based synthetic aperture radar (GBSAR). It scans 360-degree surrounding scenes by the antenna attached to rotating boom. Therefore, compared with linear scanning GBSAR, ArcSAR has larger field of view. Although the feasibility of ArcSAR has been verified in recent years, its imaging algorithm still presents difficulties. The imaging accuracy of ArcSAR is affected by terrain fluctuation. For rotating scanning ArcSAR, even if targets in scenes have the same range and Doppler with antenna, if the heights of targets are different, their range migration will be different. Traditional ArcSAR imaging algorithms achieve imaging on reference plane. The height difference between reference plane and target in scenes will cause the decrease of imaging quality or even image defocusing because the range migration cannot be compensated correctly. For obtaining high-precision ArcSAR image, we propose interferometric DEM (digital elevation model)-assisted high precision imaging method for ArcSAR. The interferometric ArcSAR is utilized to acquire DEM. With the assist of DEM, target in scenes can be imaged on its actual height. In this paper, we analyze the error caused by ArcSAR imaging on reference plane. The method of extracting DEM on ground range for assisted ArcSAR imaging is also given. Besides, DEM accuracy and deformation monitoring accuracy of proposed method are analyzed. The effectiveness of the proposed method was verified by experiments.
Highlights
Synthetic aperture radar (SAR) is capable of high-resolution imaging all-day and all-weather conditions [1,2]
We explore the relationship between height difference threshold and system the height difference threshold for determining whether the arc-scanning synthetic aperture radar (ArcSAR) image will severely defocus is the heightWe difference threshold for determining whether the ArcSAR
DEM-assisted ArcSAR imaging requires the DEM image on the ground range, we propose a polar utilized to acquire the scenesmethod
Summary
Yanping Wang 1 , Yang Song 1 , Yun Lin 1, *, Yang Li 1 , Yuan Zhang 1 and Wen Hong 2.
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