A two-stage image fusion method for enhanced through-the-wall radar target detection

C. H. Seng*, A. Bouzerdoum, S. L. Phung, M. G. Amin

*Corresponding author for this work

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

10 Citations (Scopus)

Abstract

In this paper, we propose a two-stage image fusion approach that includes both arithmetic and fuzzy logic-based fusion methods to enhance the detection of stationary targets in through-the-wall radar imaging applications. An automated non-uniform image registration technique is also introduced to geometrically align the acquired images before fusing them. The performance of the proposed methods is evaluated using real data in which registration and fusion of images obtained using different polarizations is performed. Experimental results show that the proposed method enhances image quality as well as image contrast, and improves target detection.

Original languageEnglish
Title of host publicationRadarCon'11 - In the Eye of the Storm
Subtitle of host publication2011 IEEE Radar Conference
Pages643-647
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11 - Kansas City, MO, United States
Duration: 23 May 201127 May 2011

Publication series

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

Conference

Conference2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11
Country/TerritoryUnited States
CityKansas City, MO
Period23/05/1127/05/11

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