摘要
提出了一种DEM大范围快速融合方法,该方法首先DEM重叠区域通过分块匹配策略提取密集连接点并进行区域网平差修正平面和高程上的系统误差;在此基础上通过先顺轨后垂轨的策略融合生成一整副DEM;同时为了提升整个融合效率,采用策略加快处理速度。实验结果表明,提出CPU/GPU异步并行方法比单CPU处理效率提升了18倍,实现了多条带DEM无缝融合。
A large-scale rapid DEM mosaicking method was proposed. In this method,dense tie-points were extracted from the DEM overlap areas using a block matching strategy,and the systematic errors of plane and elevation were corrected through block adjustment. Thus,an entire DEM set was generated using the mosaicking strategy of first along-track followed by cross-track. A computing strategy was adopted to accelerate the processing speed to improve the efficiency of the entire mosaicking process. The experimental results showed that the CPU/GPU asynchronous parallel method proposed in this study improves the processing efficiency by more than 18times that of a single CPU,and realises the seamless mosaicking of multi-stripe DEMs.
作者
洪中华
孙鹏飞
周汝雁
童小华
冯永玖
刘世杰
HONG Zhong-Hua;SUN Peng-Fei;ZHOU Ru-Yan;TONG Xiao-Hua;FENG Yong-Jiu;LIU Shi-Jie(The College of Information Technology,Shanghai Ocean University,Shanghai 201306,China;College of Surveying and Geo-Informatics,Tongji University,Shanghai 200092,China)
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2022年第2期493-500,共8页
Journal of Infrared and Millimeter Waves
基金
Supported by the National Key R&D Program of China(2018YFB0505400)
National Natural Science Foundation of China(41871325)。
关键词
DEM
连接点
区域网平差
融合
加速
DEM
tie-points
block adjustment
mosaicking
accelerate