摘要
针对传统大气校正处理模式在数据共享以及业务流程等方面的不足,依托PIE-Engine遥感云计算平台,采用FastAPI Web框架的前后端分离技术,设计了支持PSG等高性能大气辐射传输模型的卫星影像大气校正在线应用系统。在此基础上,开发了一种可指定传感器、目标点位和观测时间等输入条件,运用自适应查找表快速处理业务的大气校正原型系统。该系统的设计和研究,有效拓展了遥感云计算平台的应用领域,也为日后实现功能完备的遥感影像处理分析在线应用系统提供了技术支持。
To address the shortcomings of the traditional atmospheric correction processing model in terms of data sharing and business processes,an online application system for atmospheric correction of satellite images is designed relying on the PIEEngine,a remote sensing cloud computing platform,the FastAPI Web framework to hold separation of frontend and backend,as well as a high-performance atmospheric radiation transmission models such as Planetary Spectrum Generator.Based on all above,this research has developed a prototype system of atmospheric correction that can fast response the presupposed input criteria such as sensor type,target location and observation time with the support of the adaptive lookup table.The design and research of this system can give the extension of remote sensing cloud computing platform effectively,and also provide technical support to realize a fully functional online application system for remote sensing image processing and analysis in the future.
作者
李绅
王丽娜
诸葛瑞龙
史云飞
吕春光
LI Shen;WANG Lina;ZHUGE Ruilong;SHI Yunfei;LV Chunguang(College of Resources and Environment,Linyi University,Linyi,Shandong 276000,China;School of Surveying and Geo-Informatics,Shandong Jianzhu University,Jinan,Shandong 250101,China)
出处
《自动化应用》
2024年第5期232-235,共4页
Automation Application
基金
国家级大学生创新创业训练计划项目(202210452007)。
关键词
大气校正
遥感云计算平台
前后端分离
自适应查找表
行星光谱生成器
atmospheric correction
remote sensing cloud computing plaform
separation of frontend and backend
adaptive lookup tables
planetary spectrum generator