基于BFM算法的空间有形目标识别方法

Recognitive method of space visible objects based on BFM algorithm

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。

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 hy using an AdaBoost algorithm and is used to detect and recognize space objects. The simulation experi- ments dedicate that the method has an accurate result for detecting visible space objects, especially for the objects with complex edges.