Remote sensing image denoising technology based on FFDNet model
Long Gao, Shigang Hu, Zhijun Tang, Chaoyang Chen · 2022
Convolutional neural network is widely used in the field of image denoising, and FFDNet model has excellent performance in the field of image denoising. The denoising of remote sensing image is also one of the most basic preprocessing methods of remote sensing image. In this paper, FFDNet model is applied to remote sensing image denoising. Select a remote sensing image data set (UC combined land use data set), replace the natural noise with additive Gaussian white noise (AWGN), process it with different methods, compare it with DnCNN and VDNet, and analyze the comparison results. FFDNet has better performance.