Font Size: a A A

Research And Application Of A Kind Of Quality Inspection Process And Methods For The GF Satellites Remote Sensing Data

Posted on:2018-01-02Degree:MasterType:Thesis
Country:ChinaCandidate:W ChenFull Text:PDF
GTID:2348330518463660Subject:Spatial data processing technology and applications
Abstract/Summary:PDF Full Text Request
The deep development and utilization of the GF remote sensing data is based on the quality of the data itself,but the wide range of GF data sources and the process of market circulation have led to the quality of the data itself is difficult to guarantee.Therefore,the research of detecting the quality of GF data has become a key task.For the first time,this paper systematically combs the data quality problems of the domestic GF satellite,and puts forward a set of quality detection technology methods and process for GF data.Achieving a inspection system to detect massive GF satellite remote sensing data quality,meeting the application requirements of various areas and types of users to obtain qualified GF remote sensing data.The main contents of this paper include the following aspects:1.This paper presents a multi-dimensional data model of GF data quality based on star mode,and designs a set of GF data quality testing techniques and process.Analyzing the structure and advantages of the "multidimensional data model".Based on the advantages of multidimensional data model in storing,querying and exposing large amounts of data at multiple angles,getting information which is helpful for combing the characteristics and commonness of GF data.On the basis of this model,a set of GF data quality testing techniques and process are summarized.2.This paper designs a parallel quality detection architecture model for GF remote sensing data based on COGON.This paper constructs a parallel quality inspection architecture model which can improve the efficiency of GF remote sensing data,because of the multi-network entry and cross-network multi-node processing capability of COGON architecture.3.To verify the validity of the GF data quality testing techniques and processes and the feasibility of parallel quality detection architecture model for GF data based on COGON,this paper designs the GF remote sensing data quality inspection system and builds the GF data quality inspection service cluster.The remote sensing data quality inspection system designed for GF data has been used in China's remote sensing satellite application service system.After experimental verification,and run the test,the result of massive GF data quality detection was reliable,and the efficiency of detection had obvious advantages.
Keywords/Search Tags:Remote sensing image tiles, Multidimensional data model, Star pattern, Quality detection
PDF Full Text Request
Related items