Water Texture Fetching of Airphotoes
航空图像中水面纹理的自动提取

To solve the problem that it is difficult to directly detect the object in the water due to flares and cloud shadows,this paper proposed a water wake recognition method based on Multi-Channel Gabor filters,and BP neural network.First,we select sample sub-images of same sizes with wake texture and without wake texture,then,we obtain feature images using a group of Gabor filters and calculate the mean and variance of feature images to acquive,the input vectors and train the BP network.Secondly we divide the whole image into sub-images with the same size as the first step,calculate mean and variance of Gabor feature images,caculate the input vector and judge whether the sub-image contain a wake texture by the trained BP network in the first step.We obtain a binary image by the classify results of the whole image,detect lines using Hough transform and judge whether there is a wake in the whole image.From experiment results,it is proved that the proposed algorithm can attain the wake texture precisely.