Experiments indicate that the traditional methods of edge detection are not ideal because of the bigger noise of remote sense image. With the combination of wavelet directivity checkout technology and small－scale mathematical morphology, an algorithm of remote sense image processing based on wavelet transform and mathematics morphology is presented. Edge detection on remote sense image is carried out with the algorithm. It is indicated that the calculation is effective. Position at the edge can be accurately located, the noise can be inhibited at certain extent, and the effect of edge detection is obvious.