Key Technology Research Based On Visual Workflow Of Mining Area Remote Sensing Data Product

In recent years, eco-environment is increasingly prominent，with the development aerospaceremote sensing of earth observation technology, the information acquisition of Remote sensing isgrowing, and the application according to the remote sensing of environment industry come into beingscale. However, the mining area, as the monitoring object which focus on environmental protection, Thetraditional method of monitoring and information processing methods have been unable to meet the needsof industry monitoring. So the major problem facing is how to process the massive ecological remotesensing data in real-time, efficient, accurate, According to the special geographical environment in miningarea. This paper,According to the characteristic of remote sensing monitoring of ecological environmentin mining area, introduces workflow technology into the mining area ecological environment remotesensing data processing, The aim is to achieve a high efficiency production mode of treatment according tothe characteristics of remote sensing data mining. The main work and results are as follows..1. Analysis the production process of remote sensing monitoring about the mining area ecologicalenvironment. Make the production process about mining of remote sensing products be module and module.Analysis of the relationship between the algorithm module. Constructs tree of algorithms. Drive theproduction by the data flow from the bottom to the top.2. The introduction of WF workflow. The algorithm was improved by introducing Windows drive,Work Flow work flow, refine the algorithm module, each module attributes defined state.3. The driving of mine remote sensing products production3, based on the WF workflow. WF basedworkflow, design the module interface, workflow engine in the scheduling strategy, the algorithm ofcomponent functional module, high cohesion, low coupling the realization of each module, improve thework efficiency of algorithm developers.4. Experimental verification. Selects the algorithm model, experiments in the same area fromremote sensing data, several applications of argumentation in the mining area of remote sensing dataprocessing workflow indeed improves the production capacity.