摘要
A successful algorithm for detecting target groups is presented. Firstly, A global Constant False Alarm Rate (CFAR) detector is utilized to locate the potential target regions, and then the features are com- puted for target discrimination based on voting mechanism. Finally, Target groups are extracted. The results of experiments show the validity of this algorithm.
A successful algorithm for detecting target groups is presented. Firstly, A global Constant False Alarm Rate （CFAR） detector is utilized to locate the potential target regions, and then the features are computed for target discrimination based on voting mechanism. Finally, Target groups are extracted. The results of experiments show the validity of this algorithm.
