Abstract
A model-based approach that improves the spatial resolution of a buried inhomogeneous object using an active microwave imaging system is discussed. Algorithms are developed for quasi-real-time processing using a microwave camera specifically constructed for civil engineering applications using reflection mode imaging. The model is generated by numerically solving an integral equation representing the ideal scattered field of the object. The model is used to develop an optimal spatial filter to process the measured field. Finally, the inverse problem is solved using an imaging algorithm based on diffraction tomography and Fourier transforms. Experimental results indicate a reasonable performance of the approach. >
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