Because the resolution of remotely sensed imagery becomes higher, new methods are introduced to process the
high-resolution remotely sensed imagery. The algorithms introduced in this paper to recognize and extract the river
features based on the frequency domain. This paper uses the Gabor filter in frequency domain to enhance the texture of
river and remove the noise from remotely sensed imagery. And then according to the theory of phase congruency, this
paper retrieves the PC of every point such that features such as edge of river, building and farmland in the remotely
sensed imagery. Lastly, the skeletal methodology is introduced to determine the edge of river within the help of the trend
of river.
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