摘要
为了有效识别激光近场探测环境下的目标和云,提出了一种新的易于FPGA实现的目标特征提取算法。该算法提取了目标图像的突变、多分支、大角度、宽度变化等特征。测试结果显示,该算法能对目标进行有效识别。
In order to recognize the target and cloud effectively in laser near-field detection,a new target feature extraction algorithm suitable for FPGA implementation was presented.It can extract four target image features,such as abrupt change,multi-branch,large-angle,and width variation.The experiment results show that the algorithm can recognize the target accurately.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2011年第11期1359-1364,共6页
Acta Armamentarii
关键词
信息处理技术
激光近场探测
目标识别
统计中心线
information processing
laser near-field detection
target recognition
statistical center-line
