Knowledge Exploitation for Human Micro-Doppler Classification.

IEEE Geoscience and Remote Sensing Letters(2015)

引用 75|浏览90
暂无评分
摘要
Micro-Doppler radar signatures have great potential for classifying pedestrians and animals, as well as their motion pattern, in a variety of surveillance applications. Due to the many degrees of freedom involved, real data need to be complemented with accurate simulated radar data to be able to successfully design and test radar signal processing algorithms. In many cases, the ability to collect ...
更多
查看译文
关键词
Feature extraction,Radar cross-sections,Doppler radar,Doppler effect,Mathematical model,Legged locomotion
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要