Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection

The inverse scattering in time domain known as Forward-Backward Time-Stepping (FBTS) technique is applied to determine the sizes, shape and location of the embedded objects. Tikhonov’s regularization method has been proposed in order to improve or solve the ill-posed of FBTS inverse scattering pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Kismet, Hong Ping, Sia, Andrew Chew Chie, Yong, Guang, Ng, Shi Wei, Nordiana, Rajaee
Format: Article
Language:English
Published: Trans Tech Publications Ltd 2016
Subjects:
Online Access:http://ir.unimas.my/id/eprint/31298/1/Preliminary%20Results%20of%20Integrating%20Tikhonov%E2%80%99s%20Regularization%20in%20Forward-Backward%20Time-Stepping%20Technique%20for%20Object%20Detection%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/31298/
https://www.scientific.net/AMM.833.170
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir.31298
record_format eprints
spelling my.unimas.ir.312982020-08-19T07:49:53Z http://ir.unimas.my/id/eprint/31298/ Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection Kismet, Hong Ping Sia, Andrew Chew Chie Yong, Guang Ng, Shi Wei Nordiana, Rajaee TK Electrical engineering. Electronics Nuclear engineering The inverse scattering in time domain known as Forward-Backward Time-Stepping (FBTS) technique is applied to determine the sizes, shape and location of the embedded objects. Tikhonov’s regularization method has been proposed in order to improve or solve the ill-posed of FBTS inverse scattering problem. The reconstructed results showed that FBTS technique can detect the presence of embedded objects. The reconstructed results of FBTS technique utilizing with the Tikhonov’s regularization method shown better results than the results only applied FBTS technique. Tikhonov’s regularization combined with FBTS technique to improve the quality of image reconstruction. Trans Tech Publications Ltd 2016 Article PeerReviewed text en http://ir.unimas.my/id/eprint/31298/1/Preliminary%20Results%20of%20Integrating%20Tikhonov%E2%80%99s%20Regularization%20in%20Forward-Backward%20Time-Stepping%20Technique%20for%20Object%20Detection%20-%20Copy.pdf Kismet, Hong Ping and Sia, Andrew Chew Chie and Yong, Guang and Ng, Shi Wei and Nordiana, Rajaee (2016) Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection. Applied Mechanics and Materials, 833. pp. 170-175. ISSN 1662-7482 https://www.scientific.net/AMM.833.170 DOI: 10.4028/www.scientific.net/AMM.833.170
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kismet, Hong Ping
Sia, Andrew Chew Chie
Yong, Guang
Ng, Shi Wei
Nordiana, Rajaee
Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection
description The inverse scattering in time domain known as Forward-Backward Time-Stepping (FBTS) technique is applied to determine the sizes, shape and location of the embedded objects. Tikhonov’s regularization method has been proposed in order to improve or solve the ill-posed of FBTS inverse scattering problem. The reconstructed results showed that FBTS technique can detect the presence of embedded objects. The reconstructed results of FBTS technique utilizing with the Tikhonov’s regularization method shown better results than the results only applied FBTS technique. Tikhonov’s regularization combined with FBTS technique to improve the quality of image reconstruction.
format Article
author Kismet, Hong Ping
Sia, Andrew Chew Chie
Yong, Guang
Ng, Shi Wei
Nordiana, Rajaee
author_facet Kismet, Hong Ping
Sia, Andrew Chew Chie
Yong, Guang
Ng, Shi Wei
Nordiana, Rajaee
author_sort Kismet, Hong Ping
title Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection
title_short Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection
title_full Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection
title_fullStr Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection
title_full_unstemmed Preliminary Results of Integrating Tikhonov’s Regularization in Forward-Backward Time-Stepping Technique for Object Detection
title_sort preliminary results of integrating tikhonov’s regularization in forward-backward time-stepping technique for object detection
publisher Trans Tech Publications Ltd
publishDate 2016
url http://ir.unimas.my/id/eprint/31298/1/Preliminary%20Results%20of%20Integrating%20Tikhonov%E2%80%99s%20Regularization%20in%20Forward-Backward%20Time-Stepping%20Technique%20for%20Object%20Detection%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/31298/
https://www.scientific.net/AMM.833.170
_version_ 1677785507791110144
score 13.160551