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

Year 2019, Volume: 37 Issue: 3, 737 - 746, 01.09.2020

Abstract

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.

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There are 22 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Serhat Gökkan This is me 0000-0002-2390-9511

Betül Yılmaz This is me 0000-0001-7404-8312

Caner Özdemir This is me 0000-0003-2615-4203

Publication Date September 1, 2020
Submission Date January 9, 2019
Published in Issue Year 2019 Volume: 37 Issue: 3

Cite

Vancouver Gökkan S, Yılmaz B, Özdemir C. AN EXPERIMENTAL STUDY ON DETECTING AND IMAGING CAVITY REGIONS INSIDE TREE TRUNK USING CIRCULAR BACK PROJECTION FOCUSING ALGORITHM. SIGMA. 2020;37(3):737-46.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/