In this paper

a new technique to solve the problem of bridge recognition from TM images is presented The algorithm takes advantage of the characteristics of TM images It uses morphology operators to collect candidate bridge objects in the segmented images; then chain code is used to represent these candidates and computer their parameters; and in the last step we recognize those true bridges according to some knowledge and make the result more rational by post processing The algorithm works fast and can work automatically

even though some man intervention can make it more robust The result is satisfying considering the low resolution of the TM images Results on the TM images of three different areas are given to demonstrate the efficiency of our method