Shape Detection form SAR Image Based on FGHT Arithmetic
Li Mao · 2008
Shape detection plays an important role in object recognition.Generalized Hough Transform(GHT) arithmetic is now applied abroad on object shape detection on account of its good global character.But because SAR image has strong noise,the position may not be accurate by the usual Generalized Hough Transform,even the result of the detection is wrong. In this paper,we regarded the unfocused area as a fuzzy voting point,and constructed a subjection function.According to it,the FGHT arithmetic had been designed.This arithmetic could make the result of the detection accurate through optimizing the position of the reference points.From experiments we could see that our arithmetic was more robust on strong noise condition.