Research on Denoising Ability of Deconvolution Methods in Microwave Atmospheric Remote Sensing

Microwave radiometer Imager (MWRI) is widely applied in atmospheric remote sensing, and spatial resolution enhancement technique is ubiquitously taken to improve the quality of image data. In this paper, two deconvolution methods, the Wiener algorithm and Lucy-Richardson algorithm, are applied to deconvolute and denoise the antenna measurement image, which is simulated with parameter of MWRI on FY-3 Satellite. Result shows that in these two methods, Wiener method performs better in noise elimination, and Lucy-Richardson method performs better in spatial resolution and image relative coefficient. This helps the method selection in real project condition.