Design and Implementation of High Resolution Satellite Image Remote Sensing Index Batch Processing System
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.
gaofen satelliteremote sensing indexbatch processinginteractive data language
万方数据
维普
