A Reconstruction and Enhancement Technique for Microwave Imaging from Noisy Synthetic Data

摘要

This paper presents an inverse iterative algorithm for microwave imaging based on Levenberg-Marquardt method and moment method solution. To overcome the inverse crime, different mesh size for the model has been used in the forward and inverse problem respectively. The synthetic data at the receivers is contaminated with different percentage of noise as our main objective is to reconstruct the image under noisy condition. The reconstructed image is then processed through the histogram equalization technique.