A NOVEL ALGORITHM OF DYADIC WAVELET TRANSFORM FOR RS IMAGE EDGE DETECTION

Wei Fu (P. R. China) and Guang-Zhong Xing (P. R. China)

Received December 17, 2008

Abstract

In the edge detection of RS (Remote Sensing) image, the useful detail losing and the spurious edge often appear. To solve the problem, we use the dyadic wavelet to detect the edge of surface features by combining the edge detecting with the multi-resolution analysing of the wavelet transform. Via the dyadic wavelet decomposing, we obtain the RS image of a certain appropriate scale, and figure out the edge data of the plane and the upright directions, respectively, then work out the grads vector module of the surface features, at last by tracing them we get the edge data of the object therefore build the RS image which obtains the checked edge. This method can depress the effect of noise and examine exactly the edge data of the object by rule and line. With an experiment of a RS image which obtains an airport, we certificate the feasibility of the application of dyadic wavelet in the object edge detection.

Keywords and phrases: dyadic wavelet, edge detection and tracking, object recognition, remote sensing image.