Paper
16 May 2024 Fast remote sensing image geometric-correction method based on GPU parallel processing
Bingxian Zhang, Liuyang Fang
Author Affiliations +
Proceedings Volume 13166, International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024); 131660A (2024) https://doi.org/10.1117/12.3029367
Event: International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024), 2024, Changchun, China
Abstract
Geometric-correction is used to correct the distortion between image and corresponding ground target, it is one of the most time-consuming steps in remote sensing data processing, thus becoming a bottleneck restricting the effectiveness of remote sensing data. Therefore, a fast geometric-correction method of remote sensing image, based on GPU parallel processing, is proposed in this paper. First, a three-dimensional (3D) linear transformation is introduced to reduce the computational amount of coordinate projection conversion. Then, the GPU parallel mapping is conducted. Furthermore, two performance optimization methods are used to further improve the efficiency. The approach is tested with GF-1 panchromatic image with Intel i7 CPU and NVIDIA Tesla M2070 GPU. The experimental results show that the processing time is only 2.08 s, with a speedup ratio of 142.42, which could meet the requirement of fast geometric-correction for big-data remote sensing images.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Bingxian Zhang and Liuyang Fang "Fast remote sensing image geometric-correction method based on GPU parallel processing", Proc. SPIE 13166, International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024), 131660A (16 May 2024); https://doi.org/10.1117/12.3029367
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KEYWORDS
Remote sensing

Parallel processing

Image processing

Mathematical optimization

Data modeling

Data processing

Satellites

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