GPU-based Parallel Computing for Processing Sentinel-1 SAR Image

Title
GPU-based Parallel Computing for Processing Sentinel-1 SAR Image
Author(s)
배정주; 양찬수
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2017-05-17
Abstract
In this paper, we discuss about Graphics Processing Unit(GPU) based parallel computing for processing high resolution Synthetic Aperture Radar(SAR) image. Especially, we focus on Sentinel-1 dual-polarization image. Since Sentinel-1 SAR Ground Range Detected(GRD) image has about 0.5billion pixels, processing the image is very time consuming. Hence we adopt parallel computing technique to shortening the processing time. To do that, we adopt Compute Unified Device Architecture(CUDA), which is GPU-based parallel computing platform. Compared by CPU, GPU has simple but enormous processing cores, so it is fast when process huge amount of data with same algorithms. Hence in this paper, we introduce CUDA and the structure of CUDA-based image processing. Then we implement CUDA-based Sentinel-1 SAR image land masking algorithm and Pauli RGB color composite operator. Finally, we evaluate how GPU processing is efficient compared by CPU with Sentinel-1 SAR GRD dual-polarization image.nd Range Detected(GRD) image has about 0.5billion pixels, processing the image is very time consuming. Hence we adopt parallel computing technique to shortening the processing time. To do that, we adopt Compute Unified Device Architecture(CUDA), which is GPU-based parallel computing platform. Compared by CPU, GPU has simple but enormous processing cores, so it is fast when process huge amount of data with same algorithms. Hence in this paper, we introduce CUDA and the structure of CUDA-based image processing. Then we implement CUDA-based Sentinel-1 SAR image land masking algorithm and Pauli RGB color composite operator. Finally, we evaluate how GPU processing is efficient compared by CPU with Sentinel-1 SAR GRD dual-polarization image.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23980
Bibliographic Citation
International Symposium on Remote Sensing 2017, pp.308, 2017
Publisher
대한원격탐사학회
Type
Conference
Language
English
Publisher
대한원격탐사학회
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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