一种基于模糊决策的矩形目标提取算法

航空图片中的城市建筑物屋顶一般为矩形或平行四边形,能准确而快速地提取矩形,无论在军事上还是民用上都具有非常重要的意义.针对从航空图像中自动提取矩形建筑物目标的问题,提出了一种基于模糊决策的矩形目标提取方法.首先根据直线提取方法得到的直线特征集生成假设矩形空间,进而采用模糊数学方法进行证据融合得到决策信息,并对生成的假设矩形进行选择与验证,得到矩形目标结构特征.实验结果表明,该算法避免了固定阈值的设定,适应性强,鲁棒性好,有较强的实际应用价值. 

Extraction method of rectangular building based on fussy decision-making

The roof of the building in aerial image is generally rectangle or parallelogram.It makes a significance sense to extract the rectangle accurately and fast,either in military aspect or in civilian aspect.A method based on fussy decision-making for extraction of rectangular buildings from the aerial images was proposed.Firstly,the presumed rectangular space was generated via line feature,which was resulted from beeline-extraction of the aerial image.Then,the support evidences which were get from the image were combined by fussy mathematic method in order to obtain decision-making information.Finally,the generated rectangle was selected and validated according to the decision-making information.This arithmetic uses the non-fixed threshold value to select the supporting evidences to improve the validity.The results of performance assessment also possess the robustness and high extraction rate of the approach developed.