Covariance matrix for radar imaging of targets buried beneath two-dimensional rough surfaces

Magda El-Shenawee; Eric L. Miller

doi:10.1117/12.488497

11 September 2003 Covariance matrix for radar imaging of targets buried beneath two-dimensional rough surfaces

Magda El-Shenawee, Eric L. Miller

Proceedings Volume 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII; (2003) https://doi.org/10.1117/12.488497
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

In this work, radar images of dielectric targets buried beneath 2-D rough ground surfaces are simulated. These images are based on the amplitude and phase of all polarization of incident and scattered waves. Both bistatic and backscatter intensity-based images are considered in this work to compare the image quality in each case. All simulations are obtained using the integral equation based technique; the Steepest Descent Fast Multiple method (SDFMM). The numerical results show that images based on the Covariance matrix are very unique when the surrounding illuminated areas have almost the same rough surface profile. However, these images deteriorate as the surface profile greatly changes in the surrounding ground areas.

Citation Download Citation

Magda El-Shenawee and Eric L. Miller "Covariance matrix for radar imaging of targets buried beneath two-dimensional rough surfaces", Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); https://doi.org/10.1117/12.488497

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