AN EXPERIMENTAL STUDY ON DETECTING AND IMAGING CAVITY REGIONS INSIDE TREE TRUNK USING CIRCULAR BACK PROJECTION FOCUSING ALGORITHM

Authors : Serhat GÖKKAN, Betül YILMAZ, Caner ÖZDEMİR

Pages : 737-746

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Publication Date : 2020-09-01

Article Type : Research Paper

Abstract :In this work, we have presented experimental study for detecting cavity regions inside a tree trunk using circular back projection focusing algorithm insert ignore into journalissuearticles values(CBPA);. First, the validity of CBPA was questioned and then checked by the help of a simulation scenario that were generated using perfect point-scatterers in Matlab programming environment. After achieving perfect reconstruction of the simulated cavity structure together with the tree-body in the simulated scenario, the implementation of CBPA was applied to a real tree-interior imaging radar insert ignore into journalissuearticles values(TIIR); experiments that were conducted in the laboratory. The resultant focused TIIR radar images of measured data have demonstrated that CBPA can be a strong candidate and successfully utilized for migrating the raw backscattered data for TIIR applications.
Keywords : Remote sensing, radar imaging, tree penetrating radar, signal processing, back scattered measurements

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