A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data

Details A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data

2010-10-02

arxiv.org/abs/1010.0301v1

Computer Science

Computer Vision and Pattern Recognition

8 Pages, 10 Figures, International Symposium on Advanced Engineering and Applied Management-40th Anniversary in Higher Educati

Scientific paper

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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