This paper discusses the application of several image formation techniques to forward looking ground penetrating radar (FLGPR) data to observe if they improve target-to-clutter ratio. Specifically, regularized imaging with 𝐿1 and total variation constraints and coherence-factor filtered images are considered. The technical framework and software implementation of each of these image formation techniques are discussed, and results of applying the techniques to field collected data are presented. The results from the different techniques are compared to standard backprojection and compared to each other in terms of image quality and target-to-clutter ratio.
Joseph Burns, Matthew P. Masarik, Ismael J. Xique, Brian Thelen, and Adam Webb, "Comparative analysis of image formation techniques for FLGPR," Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 1018219 (Presented at SPIE Defense + Security: April 12, 2017; Published: 3 May 2017); https://doi.org/10.1117/12.2262999.
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