Serhat GÖKKAN, Betül YILMAZ, Caner ÖZDEMİR

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

In this work, we have presented experimental study for detecting cavity regions inside a tree trunk using circular back projection focusing algorithm (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 (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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