基于cuda的SAR图像SIFT配准研究

2011 Fourth International Symposium on Parallel Architectures, Algorithms and Programming Pub Date : 2011-12-09 DOI:10.1109/PAAP.2011.21

Yang Huang, Jinshuo Liu, Meisheng Tu, Siyuan Li, Juan Deng

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引用次数: 8

摘要

本文提出了合成孔径雷达(SAR)图像SIFT算法的实现与优化。采用基于CUDA框架的图形处理单元(GPU)架构，提高SIFT算法效率，满足实时遥感图像处理的要求。在大尺寸SAR图像上的实验表明，该算法的速度提高了57.8倍。

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Research on CUDA-Based SIFT Registration of SAR Image

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.

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2011 Fourth International Symposium on Parallel Architectures, Algorithms and Programming

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