基于遥感云计算平台的卫星影像大气校正应用系统的设计
Design of Satellite Image Application System for Atmospheric Correction Based on Remote Sensing Cloud Computing Platform
李绅 1王丽娜 2诸葛瑞龙 1史云飞 1吕春光1
作者信息
- 1. 临沂大学资源环境学院,山东临沂 276000
- 2. 山东建筑大学测绘地理信息学院,山东济南 250101
- 折叠
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.
Abstract
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 PIE-Engine,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.
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Key words
atmospheric correction/remote sensing cloud computing platform/separation of frontend and backend/adaptive lookup tables/planetary spectrum generator引用本文复制引用
基金项目
国家级大学生创新创业训练计划(202210452007)
出版年
2024
NETL
NSTL
万方数据