The Research Of Remote Sensing Data Mining For High–resolution Application System

In recent years,earth observation technology based on remote sensing satellite including themeteorological satellite,tesource satellite,ocean satellite,environmental monitoring and militaryreconnaissance satellites,etc,is being more and more attention of the country,becomes an important andindispensable means to resolve resources,environment and disasters as well as military anddiplomatic.With the rapic development of remote sensing technology,the Earth observation field ofinternational competition is becoming increasingly fierce,remote sensing image data is increasing.For high-resolution data products,research online data analysis perspective,so that users candetect quickly various types of basic characteristics of the data,prior knowledge and the informationinherent in the image data mining products for further in-depth anaylysis of data orda to provide areference application.How fast,flexible probe information data itself,in order to properly filter these dataproducts ande further industrial applications,therefore,it is very important for high-resolution product toimprove the operating efficiency of existing algorithms of remote sensing data mining online andvisualization the analysis results of remote sensing data.In this paper,the main results are as follows:1、 Adopt Web services architecture with broad applicability,flexible and easy integration toimplement the online service request and processing,so that we can meet the framework of high-resolutiondata mining and analysis services integrate functions,completed across the network,in response to requestsand handle of remote applications,to meet the online processing,while the response to get better serviceprocessing sefficiency optimization. 2、 The research and algorithm improving of high-resolution data mining and analysis tools.Archieved the function of online projection transformation tand multiple target objective associationpattern mining.And optimize the algorithms of multi-target pattern to improve operational efficiency ofalgorithm.