Abstract: This paper gives a color image analysis method based on texture neural network. The texture neural network can be applied in the classification of color remote sensing images through network learning. For the convenience of texture classification, an algorithm to preprocess the original images is provided. Then the algorithm transforms RGB color range to HSV color range. By using this method, the information of the color image can be reduced. A method to construct a texture neural network is also provided. After constructing the texture neural network, it combines every eight neighboring field as an input data of this neural network. If users pick out the color fields they are interested in, they can use these vectors to treat the neural network. Finally, they can use this neural network to classify this color remote sensing image. The algorithm has been implemented on a PC platform to classify color remote sensing images. The result of the experiment demonstrates that the method is efficient and useful.