Title :
Research on CUDA-Based SIFT Registration of SAR Image
Author :
Huang, Yang ; Liu, Jinshuo ; Tu, Meisheng ; Li, Siyuan ; Deng, Juan
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
Abstract :
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.
Keywords :
graphics processing units; image registration; parallel architectures; radar computing; radar imaging; remote sensing by radar; synthetic aperture radar; CUDA; SAR image registration; SIFT algorithm; compute unified device architecture; graphics processing unit; real-time remote sensing image processing; scale invariant feature transform; synthetic aperture radar; Algorithm design and analysis; Computer architecture; Feature extraction; Graphics processing unit; Image registration; Instruction sets; Optimization;
Conference_Titel :
Parallel Architectures, Algorithms and Programming (PAAP), 2011 Fourth International Symposium on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4577-1808-3
DOI :
10.1109/PAAP.2011.21
