Research On Multi-source Heterogeneous Remote Sensing Data Acquisition And Remote Sensing Model Processing Technology

With the rapid development of remote sensing earth observation technology and computer technology,multispectral and high spatial resolution remote sensing data sharing platform has been established in many parts of the world,which can obtain a large amount of remote sensing data every day,making its volume show explosive growth.At the same time,it also causes the multi-source and heterogeneous of remote sensing data,leading to the scientific research workers in the stage of data acquisition A lot of resources are wasted.Diversified remote sensing algorithms provide a comprehensive and reliable basis for promoting the sustainable development of enterprises and comprehensive innovation of science and technology.However,when processing multi-source and heterogeneous remote sensing data,the special remote sensing platform is more limited.In order to improve the efficiency of remote sensing data acquisition and processing,this paper analyzes the demand for multi-source data in the field of remote sensing,puts forward a general automatic collection method to realize the collection of multi-source heterogeneous remote sensing data;with the goal of promoting the sharing and reuse of remote sensing algorithms,analyzes the general characteristics of remote sensing algorithms,realizes the modeling encapsulation of remote sensing algorithms,and calls and cooperates remote sensing personnel Sharing provides an effective way.The research ideas of this paper are as followsFirstly,through the investigation and analysis of common data sources in the field of remote sensing,a remote sensing data acquisition algorithm based on Selenium tool is designed to automatically collect the data of Sentinel and Landsat series of earth observation satellites.Secondly,the characteristics of a large number of remote sensing models are analyzed,and the general attributes of remote sensing models are extracted.According to the attributes,a remote sensing model parameter description language based on XML is designed to express the remote sensing model uniformlyThirdly,the running environment and dependence of remote sensing model are studied,and the unified encapsulation specification of remote sensing algorithm is formulated.According to this specification,the modeling encapsulation is carried out,so as to improve the universality and integration efficiency of the algorithm.Finally,through the programming and model encapsulation of "Sentinel-2-based complex regional water extraction algorithm",the proposed method is verified.