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We present a new classi cation method using deformable template model to separate natural objects from man made objects in an image given by a high resolution sonar. A prior knowledge of the manufactured object shadow shape is described by a prototype template and a set of admissible linear transformations to take i n to account the shape variability. Then, the classi cation problem is de ned as a two step process; rstly the detection problem of a region of interest in the input image is stateddoi:10.1109/icassp.1998.678090 dblp:conf/icassp/MignotteCPB98 fatcat:4vyjazvw5jg6bdoe75jwyyzirm