天津农业科学2024，Vol.30Issue(3)：58-66,9.DOI:10.3969/j.issn.1006-6500.2024.03.010
高分卫星影像遥感指数批量处理系统设计与实现
Design and Implementation of High Resolution Satellite Image Remote Sensing Index Batch Processing System
摘要
Abstract
In response to the growing volume of high-resolution satellite image data files and the demand for batch computing and processing of their remote sensing indices,in this paper,we adopted the interactive data language IDL,based on the layered architec-ture and event-driven model,designed and developed a high-resolution satellite image remote sensing index batch processing system with graphical user interface,independent of ENVI software,and independent operation across platforms,implemented batch,visual-ization,and process processing of image reading,index calculation,and data output,simplified the manual operation process of ex-tracting multiple remote sensing indices from complex high-resolution image data files.The practical application in agricultural remote sensing business had shown that the system in this article could operate stably,efficiently process a large number of high-resolution satellite image files,accurately calculate multiple remote sensing indices,avoid the problems of traditional methods such as cumber-some operations,repetitive labor,and frequent waiting,not only greatly improve the efficiency of agricultural remote sensing business,but also had important reference significance for the analysis and processing of remote sensing data and the development and applica-tion of related software.The successful design,implementation,and application of this system demonstrated the effectiveness of the combination of layered architecture,event driven models,and IDL language in the development and practice of information systems in the field of agricultural remote sensing.关键词
高分卫星/遥感指数/批量处理/交互式数据语言Key words
gaofen satellite/remote sensing index/batch processing/interactive data language分类
信息技术与安全科学引用本文复制引用
张萌,黄澈,徐祥,王状,周鹿扬,王琛..高分卫星影像遥感指数批量处理系统设计与实现[J].天津农业科学,2024,30(3):58-66,9.基金项目
安徽省自然科学基金"江淮气象"联合基金(2208085UQ04) （2208085UQ04）
安徽省科技重大专项(2023n06020017) （2023n06020017）
国家水稻生产全过程智慧气象服务标准化示范区(SFQ11-2023-108) （SFQ11-2023-108）
