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Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA
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  • Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA
  • Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA
저자명
Jeong. In-Kyu,Hong. Min-Gee,Hahn. Kwang-Soo,Choi. Joonsoo,Kim. Choen
간행물명
大韓遠隔探査學會誌
권/호정보
2012년|28권 6호|pp.683-691 (9 pages)
발행정보
대한원격탐사학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

High resolution satellite images are now widely used for a variety of mapping applications including photogrammetry, GIS data acquisition and visualization. As the spectral and spatial data size of satellite images increases, a greater processing power is needed to process the images. The solution of these problems is parallel systems. Parallel processing techniques have been developed for improving the performance of image processing along with the development of the computational power. However, conventional CPU-based parallel computing is often not good enough for the demand for computational speed to process the images. The GPU is a good candidate to achieve this goal. Recently GPUs are used in the field of highly complex processing including many loop operations such as mathematical transforms, ray tracing. In this study we proposed a technique for parallel processing of high resolution satellite images using GPU. We implemented a spectral radiometric processing algorithm on Landsat-7 ETM+ imagery using CUDA, a parallel computing architecture developed by NVIDIA for GPU. Also performance of the algorithm on GPU and CPU is compared.