An investigation of urban water automatic extraction based on texture and imaging knowledge from high resolution SAR images

Extracting water body information with SAR images is distinctive and important. Especially for high-resolution SAR images, it's hard to extract water accurately because of Speckle Noises, so a Gabor filtering method related to the image texture is proposed. Firstly, frequency spectrum analysis method was used to identify the wedge and ring characters of image texture, and the period and directional parameters of the texture distribution were computed. Based on these characters, Gabor filter were constructed in order to filter the frequency spectrum of the multi-texture image, and best filter parameters were selected. After the filtering in frequency domain, components of corresponding texture were acquired by transforming the filtered frequency spectrum image to time domain image. The test results of terra SAR image indicate that the water body extraction method is good.