基于BFM算法的空间有形目标识别方法

为了对具有复杂边缘的目标进行更准确的检测识别,提出了一种基于边界片段模板(boundary frag-ment model)训练模式的目标识别方法.方法首先提取目标的边界片段组成弱分类器,然后使用AdaBoost算法将它们提升训练成为强分类器,并用其进行检测和识别目标.仿真实验表明,该方法对有形目标,特别是对具有复杂边缘的空间有形目标有较好的识别效果.

Recognitive method of space visible objects based on BFM algorithm

For the purpose of accurately detecting and recognizing objects containing complex edges,an object recognitive method is proposed based on a boundary fragment training model.Firstly,the method forms a weak classifier by extracting edge segments,and then the obtained weak classifier is further trained into a strong one by using an AdaBoost algorithm and is used to detect and recognize space objects.The simulation experiments dedicate that the method has an accurate result for detecting visible space objects,especially for the objects with complex edges.