| GF-4大气校正并行算法研究 |
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| 引用本文： | 王子翔,李正强,光洁,佘璐. GF-4大气校正并行算法研究[J]. 大气与环境光学学报, 2021, 16(3): 269-282. DOI: 10.3969/j.issn.1673-6141.2021.03.012 |
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| 作者姓名： | 王子翔 李正强 光洁 佘璐 |
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| 作者单位： | 1.中国科学院空天信息创新研究院, 国家环境保护卫星遥感重点实验室, 北京 100101;2.中国科学院大学, 北京 100049;3.宁夏大学资源环境学院, 宁夏 银川 750021 |
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| 基金项目： | Supported by The Special Fund for Strategic Pilot Technology of Chinese Academy of Sciences (中国科学院战略性先导科技专项 (A类),XDA19080303), National Natural Science Foundation of China (国家自然科学基金, 41925019, 41471306) |
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| 摘 要： | 高分四号(GF-4)是我国第一颗高分辨率对地静止卫星,地表反射率产品对于评估生态环境与减灾防灾具有重要价值.GF-4大气校正算法对地表反射率进行估计,迭代计算观测与计算表观反射率残差最小值得到气溶胶光学厚度,并构建6SV查找表对地表反射率结果进行计算.在精度验证基础上,考虑产品生产的高效率需求,对计算复杂度高的步骤基于...
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| 关 键 词： | 高分四号 图形处理器 大气校正 地表反射率 气溶胶光学厚度 |
| 收稿时间： | 2020-07-25 |
| 修稿时间： | 2021-03-25 |
Study on Parallel Method of Atmospheric Correction for GF-4 Images |
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| WANG Zixiang,LI Zhengqiang,GUANG Jie,SHE Lu. Study on Parallel Method of Atmospheric Correction for GF-4 Images[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(3): 269-282. DOI: 10.3969/j.issn.1673-6141.2021.03.012 |
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| Authors: | WANG Zixiang LI Zhengqiang GUANG Jie SHE Lu |
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| Affiliation: | 1.State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute,Chinese Academy of Sciences, Beijing 100101, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.College of Resources and Environmental Science, Ningxia University, Yinchuan 750021, China |
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| Abstract: | GF-4 is the first high spatial-resolution geostationary satellite of China. Surface reflectance productsare of great value for evaluating ecological environment and reducing disasters. GF-4 atmospheric correction algorithm estimates surface reflectance, iteratively calculates the minimum residual error of observed and calculatedapprent reflectance to get aerosol optical depth, and constructs a 6SV look-up table to obtain the surface reflectanceresults. Based on the accuracy verification of GF-4 surface reflectance products, considering the high-efficiencyrequirements of data analysis and product production, the computationally complex steps are designed based onthe graphics processing unit (GPU) to optimize the performance of threads and registers. The results show that theGPU-accelerated atmospheric correction algorithm has great advantages in performance and energy consumption.Compared with sequential execution, a scene of GF-4 PMS image data with 10240×10240 pixels has an overallspeedup of 57.3, while the overall energy consumption is only 15.5% of sequential execution. |
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| Keywords: | GF-4 graphics processing unit atmospheric correction surface reflectance aerosol optical depth |
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