1.The College of Information Technology， Shanghai Ocean University， Shanghai 201306， China;2.College of Surveying and Geo-Informatics， Tongji University， Shanghai 200092， China
Supported by the National Key R&D Program of China （2018YFB0505400）， and National Natural Science Foundation of China （41871325）
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 18 times that of a single CPU， and realises the seamless mosaicking of multi-stripe DEMs.
HONG Zhong-Hua, SUN Peng-Fei, ZHOU Ru-Yan, TONG Xiao-Hua, FENG Yong-Jiu, LIU Shi-Jie. Fast mosaicking method of InSAR-generated multi-stripe digital elevation model[J]. Journal of Infrared and Millimeter Waves,2022,41(2):493~500Copy