摘要
将KLT算法应用于车载序列影像匹配中,并结合金字塔分层技术和RANSAC算法剔除了错误匹配。结果表明,基于KLT的车载序列影像匹配方法是可行的,且提高了车载序列影像匹配的正确率。
In this paper, we applied KLT algorithm into the matching of vehicle sequence images, and used the pyramid hierarchy technique and RANSAC algorithm to eliminate the false matching. The experimental results show that the vehicle sequence image matching method based on KLT is feasible, and can improve the accuracy of vehicle sequence image matching.
出处
《地理空间信息》
2019年第7期60-62,I0002,共4页
Geospatial Information
基金
国家重点研发计划资助项目(2016YFC0802500)
