Parallel Architectures, Algorithms and Programming, International Symposium on (2011)
Dec. 9, 2011 to Dec. 11, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2011.21
This paper proposes an implementation and optimization of SIFT algorithm for SAR (Synthetic Aperture Radar) images. It improves the SIFT algorithm efficiency using the graphics processing unit (GPU) architecture based on Compute Unified Device Architecture (CUDA) framework, to attend the request of real-time remote sensing image processing. The experiments of large-size SAR image demonstrate that the algorithms achieve 57.8 times speedup.
Yang Huang, Jinshuo Liu, Meisheng Tu, Siyuan Li, Juan Deng, "Research on CUDA-Based SIFT Registration of SAR Image", Parallel Architectures, Algorithms and Programming, International Symposium on, vol. 00, no. , pp. 100-104, 2011, doi:10.1109/PAAP.2011.21