Aiming at removal of Gaussian noise from color images,a Multi-Channel (MC) optimization model for color image denoising is proposed in the framework of Weighted Nuclear Norm Minimization (WNNM).First,multiple types of noise computation are selected,RGB patches are connected by using the redundancy property of the channels.Then,a weight matrix is introduced to reconcile the image fidelity of the three channels.The given MC-WNNM model is converted into a linear equation constrained phenomenon and is solved by using the Alternating Direction Method of Multipliers (ADMM).Each variable update step has its own closed solution and convergence is guaranteed.Simulation experiments based on real color images for UAV target identification with added noise show that the method has significant advantages over the existing BM3D and WNNM methods.