The application of dyadic wavelet in the RS building image edge detection

In the edge detection of RS building image, the useful detail losing and the spurious edge often appear. To solve the problem, we used the dyadic wavelet to detect the edge of surface features by combining the edge detecting with the multi-resolution analyzing of the wavelet transform. Via the dyadic wavelet decomposing, we obtained the RS building image of a certain appropriate scale, and figured out the edge data of the plane and the upright directions respectively, then worked out the grads vector module of the surface features, at last by tracing them we got the edge data of the buildings therefore built the RS image which obtained the checked edge. This method can depress the effect of noise and examine exactly the edge data of the building object by rule and line. With an experiment of RS building image, we certificated the feasibility of the application of dyadic wavelet in the RS building image edge detection.