A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data

2010/10/02 by Anjan Kumar Kundu, Kundu, Anjan Kumar, Bandopadhyay, Bijoy +2
Engineering · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Geophysical Methods and Applications #Microwave Imaging and Scattering Analysis #Numerical Analysis (math.NA) #Soil Moisture and Remote Sensing

paper · pdf · doi:10.48550/arxiv.1010.0301

openalex publication_date 2010/10/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization technique and is certain to converge. Different mesh size for the model has been used here to overcome the Inverse Crime. The synthetic data at the receivers is contaminated with different percentage of noise. The ill-posedness of the problem is solved by Levenberg-Marquardt method. The algorithm is applied to synthetic data and the reconstructed image is then further enhanced through the Image enhancement technique

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