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Research On Scaling Effect Of Typical Objects Based On Multi-source Remote Sensing Image

Posted on:2018-03-10Degree:MasterType:Thesis
Country:ChinaCandidate:E L XuFull Text:PDF
GTID:2370330545474934Subject:Land resources and 3S technology
Abstract/Summary:PDF Full Text Request
Along with the rapid developing speed of remote sensing technology,the remote sensing image had also provided quantities of research data for researches of related field,among this,as the most typical characteristic of remote sensing image,the scale problem;it became an indispensable part in the field of remote sensing.Scale shows the assessing index of basic information detail situation of the image,because remote sensing image and natural entity both have nature of dependency towards scale,for different scale,the information characteristic of the same terrestrials are not totally the same,the terrestrial information characteristic and rules researched and studied in one of the scale,will not be perfectly fit the situation when in some other scales,and how to use the dependent relationship between terrestrial information and remote sensing scale,and use the suitable research method,choose the suitable expression to express the specific scale of the terrestrial information characteristics,is so much essential in the field of remote sensing.This article will pick Chengde county,Hebei Province as the research zone,and selected the high score No.1 remote sensing image,TM image and high score No.4 remote sensing image as the research data of the text scale related problem research,and use the aerial remote sensing data as the validation reference data source,to study about the scale problem.The specific research content and research results are written as below:(1)Provide pretreatment for the high score No.1 16 m image,TM30 m image,high score No.4 50 m image used by Master's degree students.Spread the scale equatorial of high score No.1 16 m image,adopt the nearest sampling method,simple average method and cubic convolution method to separately scales transfer for high score No.1 image,use standard deviation,spectrum torsion resistance,and the average value and so on the three kinds of the assess index to contrastive analysis for the transferred results,select the spread method with good spread result through analysis as for the research use of the scale transfer methods,according to the evaluation and analysis,the spread result of simple average method was surpassed wholly than the nearest sampling method and cubic convolution,therefore,in this article,we will choose the simple average method as the spread method,provide scale spread for high score No.1 16 m image.(2)Select water zone,construction land,farmland,forest land,and unused land,etc.the five big categories of typical terrestrial as the research target inside the research zone,research on the validation accuracy and suitable scale of different resolution and different terrestrial categories after the scale transfer.The results indicates that for different terrestrial categories,the suitable express scales are also in differ,and it is not like when the resolution goes higher,the recognition accuracy of the terrestrial zone in the process of the research will be higher.By the reason of different researcher chose different research zone and research scale,the terrestrial information included by the image in the research zone will also be different,in mass of the research result,there are no any of the fixed scale that can suit all the research zone and for the different or for the same terrestrial categories,but for the same research zone,the same terrestrial categories and terrestrial characteristics,suitable scale range exists.(3)This article used three different remote sensing platform to acquire multi-source remote sensing image for researching,compare and analyze the continuous natured resolution image and the remote sensing data from different remote sensing platform of the same remote sensing platform gained through scale transferring,which is more comprehensive and more accurate compared to the past research of single source of data,and we hope that we can provide enough referential information for related researches of this research zone later on.
Keywords/Search Tags:Scale Transformation, Scale Effect, Remote Sensing Image, Chengde County
PDF Full Text Request
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