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Research On Synthesizing Method Of Remote Sensing Earth-Observation Application Requirements Based On Cluster Analysis

Posted on:2019-11-24Degree:MasterType:Thesis
Country:ChinaCandidate:W XiangFull Text:PDF
GTID:2370330545486949Subject:Photogrammetry and Remote Sensing
Abstract/Summary:PDF Full Text Request
As a kind of strategic space resource,earth observation satellite is highly valued by the state and has developed rapidly in recent years.The number of Chinese remote sensing satellites which are launched or on orbit have increased rapidly.Facing remote sensing earth observation system which is becoming complex day by day,when planning and discussing earth observation system,it is necessary to comprehensively analyze the earth observation requirements from multi industry departments and multi users.Therefore,the traditional artificial analysis methods for earth observation requirements which are faced to single service departments and to single users are not applicable.Aiming at this problem,this paper makes the earth observation requirements of visible and near infrared type as the research object,and makes full use of the similarity between the user requirements introduce the clustering method,and proposes requirements synthesizing method based on clustering analysis.and takes the cluster centers as synthesizing requirements.The main content and innovation of this paper are as follows.(1)On the basis of the analysis of the meaning of common descriptions of earth observation requirements,the requirements index classification standards are proposed,and builds a structured expression method for the system discussion,and forms a standardized expression template for the user requirements of the earth observation.Through structured expression,the original user requirements can be unified into a quantitative requirements vector set,which facilitates the subsequent requirements clustering.(2)In order to take the ability of orbiting satellites into account when analyzing requirements,the concept and method of extracting requirements residual set for earth observation are proposed.After designing the method satellite application satisfaction evaluation based on AHP-FCE,the satisfaction of the satellite to the user requirements is calculated,the requirement items with high degree of satisfaction are eliminated,and the requirements residual set which truly reflects the insufficient capacity of the current earth observation system are extracted.(3)After the normalization of the user requirements set based on the z-score method,two measures of Euclidean distance and angle cosine are combined with the three methods of maximum and minimum distance,K mean clustering and hierarchical clustering,and 6 kinds of requirements synthesis algorithms are designed.On the basis of the assumption that the comprehensive requirements are consistent with the newly designed satellites capability under the guidance of them,a comprehensive requirements result evaluation method based on the application requirements satisfaction evaluation is proposed,which takes the average satisfaction index of the cluster center to the user's requirements as the quality evaluation index of the requirements comprehensive result.(4)Using the real user requirements data collected in several important projects as experimental data,experiments are carried out on the several kinds of requirements synthesis algorithms,and based on the comprehensive requirements evaluation method designed in this paper,the requirements comprehensive results of different algorithms and different similarity measures are compared through comparison and analysis of the experimental results.The paper puts forward some new concepts and methods,such as system level requirements index,requirements residual set,requirements synthesis method based on cluster analysis and requirements comprehensive result evaluation,which can provide reference and technical support for the discussion of earth observation requirements and the design of satellites system in China.
Keywords/Search Tags:Earth observation, Requirements analysis, Clustering analysis, Requirements synthesis, System
PDF Full Text Request
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