A Parallel Method of Atmospheric Correction for Multispectral High Spatial Resolution Remote Sensing Images

被引:0
|
作者
Zhao, Shaoshuai [1 ,2 ]
Ni, Chen [3 ]
Cao, Jing [3 ]
Li, Zhengqiang [2 ]
Chen, Xingfeng [2 ]
Ma, Yan [2 ]
Yang, Leiku [1 ]
Hou, Weizhen [2 ]
Qie, Lili [2 ]
Ge, Bangyu [2 ]
Liu, Li [4 ]
Xing, Jin [5 ]
机构
[1] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454003, Peoples R China
[2] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, State Environm Protect Key Lab Satellite Remote S, Beijing 100101, Peoples R China
[3] China Acad Space Technol, Inst Spacecraft Syst Engn, Beijing 100094, Peoples R China
[4] China Ctr Resources Satellite Data & Applicat, Beijing 100094, Peoples R China
[5] China Natl Space Adm, Earth Observat Program Ctr, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Parallel Computing; Atmospheric Correction; Remote Sensing; Multispectral Image; High Spatial Resolution;
D O I
10.1117/12.2283380
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The remote sensing image is usually polluted by atmosphere components especially like aerosol particles. For the quantitative remote sensing applications, the radiative transfer model based atmospheric correction is used to get the reflectance with decoupling the atmosphere and surface by consuming a long computational time. The parallel computing is a solution method for the temporal acceleration. The parallel strategy which uses multi-CPU to work simultaneously is designed to do atmospheric correction for a multispectral remote sensing image. The parallel framework's flow and the main parallel body of atmospheric correction are described. Then, the multispectral remote sensing image of the Chinese Gaofen-2 satellite is used to test the acceleration efficiency. When the CPU number is increasing from 1 to 8, the computational speed is also increasing. The biggest acceleration rate is 6.5. Under the 8 CPU working mode, the whole image atmospheric correction costs 4 minutes.
引用
收藏
页数:5
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