Remote Sensing Data Processing Visualization Workflow Technology And Application Research

Remote sensing is characterized by digital imaging,and its development levelis is an important indicator of a country's scientific and technological development level and comprehensive strength.In recent years,with the growth of remote sensing data volume and the expansion of remote sensing application field,some problems of remote sensing data are exposed,such as complicated processing process,difficult management and application.In order to solve these problems,a remote sensing data processing system is designed and implemented by combining visualization and workflow technology.The dynamic visualization process is constructed for remote sensing data processing,which can summarize and organize the remote sensing algorithm effectively and reduce the difficulty of application of remote sensing.Firstly,the XML metadata standard and algorithm descriptions were compiled to solve problems of multi-sensor satellites,scattered and diverse algorithms,which can achieve associated warehousing of algorithm,affiliated ZIP and XML.Secondly,updating XML metadata information dynamically according to process scheme was used to construct the visualization process of remote sensing data processing,which can realize dynamic correlation between three libraries and users' needs.Lastly,parallel computing of algorithms in business process schemes can be achieved through by using workflow engine mechanism,as well as the log management mechanism.Algorithm storage and the mode of algorithm call and algorithm process construction of the traditional system are improved in this topic.And the standard of XML metadata and remote sensing algorithm is redrafted.It can provide users with algorithm auxiliary information,and the update of algorithm parameters is kept in dynamic unity with the database in the processing flow,which meets the user's customized processing requirements and reduces the difficulty of remote sensing application.