Abstract: At present, there are a lot of mature and effective image color correction algorithms. However there isn’t an effective automatic color correction method for massive remote sensing image data. In order to solve the problem, this paper proposes a fully automatic method named ACCN（Auto Color Correction Network）to correct multispectral remote sensing images’ color based on CNN (Convolutional Neural Network). The model corrects the multispectral remote sensing images’ color by predicting its’ Ground-truth color histogram of each color channel. The model is trained on 20 thousand pieces of remote sensing images in the Tensorflow framework. We get the optimal model which realizes automatic color correction for multispectral remote sensing image through many times repeated fine-tuning. Experiments show that the multispectral remote sensing image through automatic color correction becomes harmonious and flaming. This method can correct the color of large-scale remote sensing images automatically. 

Key words: remote sensing image, CNN, color correction, color histogram, automation