Segmentations of through-the-wall radar images

C. H. Seng*, M. G. Amin, F. Ahmad, A. Bouzerdoum

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper, we examine the use of image segmentation approaches for target detection in TWRI. The between-class variance thresholding, entropy-based segmentation, and K-means clustering are applied to segment target and clutter regions. Real 2D polarimetric images are used to demonstrate that simple histogram-based segmentation methods produce either comparable or improved performance over the Likelihood Ratio Tests (LRT) detector. Specifically, the results show that, for the cases considered, the entropy-based segmentation outperforms the other image segmentation methods and the LRT detector.

Original languageEnglish
Title of host publication2012 IEEE Radar Conference
Subtitle of host publicationUbiquitous Radar, RADARCON 2012 - Conference Program
Pages647-652
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 - Atlanta, GA, United States
Duration: 7 May 201211 May 2012

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Conference

Conference2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012
Country/TerritoryUnited States
CityAtlanta, GA
Period7/05/1211/05/12

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