2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSAM-9.3
Paper Title A ROBUST COPULA MODEL FOR RADAR-BASED LANDMINE DETECTION
Authors Afief D. Pambudi, Technsiche Universität Darmstadt, Germany; Fauzia Ahmad, Temple University, United States; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
SessionSAM-9: Detection and Classification
LocationGather.Town
Session Time:Thursday, 10 June, 16:30 - 17:15
Presentation Time:Thursday, 10 June, 16:30 - 17:15
Presentation Poster
Topic Sensor Array and Multichannel Signal Processing: [RAS-DTCL] Target detection, classification, localization
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract We present a robust copula model for landmine detection based on a likelihood ratio test. The test is applied to radar-based imagery from multiple viewpoints of the interrogation area. Different copula density functions are investigated in terms of their effectiveness incorporating the statistical dependence between multi-view images. The test is designed to maximize the worst-case performance over all feasible mine and clutter distributions. Using numerical radar data of shallow buried targets under varying surface roughness, we demonstrate that the robust copula-based detector outperforms existing approaches and provides a high detection performance for a wide range of false-alarm rates.