Abstract
This paper presents a CUDA-based real-time solution for true-color synthesis of remote sensing image. The solution reduces total execution time in three aspects. 1. Apply Pinned Memory to reduce data transfer time between host memory and GPU global memory. 2. Use look-up table to reduce computing time. 3 Overlap kernel executions and data transfers, besides register pages and execute kernels in parallel. The experimental results showed that our solution cost 345.22ms in average to composite a true-color image of a single WRS-2 located region on the GPU gtx970m. The speedup ratio of 3.96 proved our solution was useful and efficient, which satisfied the need of real-time synthesis on both PC and laptop.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
