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Design and Realization of Lop Nur "Great Ear" Area Spatial Database System Based on Geodatabase
Author: YanAn
Tutor: JiangPingAn
School: Xinjiang Agricultural University
Course: Soil
Keywords: Lop Nur playa GEODATABASE Spatial database Remote sensing image resolution Software Development
CLC: P237
Type: Master's thesis
Year: 2009
Downloads: 136
Quote: 1
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Abstract
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With the in-depth investigation and study of the Lop Nur \Spatial data organization to seek a more rational way to organize and manage all kinds of data are particularly important. To this end , this study applied to a new generation of data model - GEODATABASE Lop Nur \The papers detail the development of spatial database systems and data models , analyzes the thinking based on the model of GEODATABASE data ; then existing data preprocessing , application of the decision tree method for classification of the salt crust classified thematic map . Vector database and multi - source remote sensing image database storage model from the logical and physical design , and build a spatial database , the study area, the integration of spatial information data storage and network sharing . In the study , the following results were obtained : 1 . Based GEODATABASE data model , design , and the establishment of a spatial database of Lop Nur \2 are classified according to the spatial resolution of the remote sensing image data , and through remote sensing image metadata table to establish a logical relationship between the organization and management of image data in a multi - source remote sensing image data . 3 . Decision tree method ETM remote sensing image classification , the overall classification accuracy of 86.3% , Kappa coefficient of 0.8420 . The results show that the Lop Nur \shell by surface humidity effects on remote sensing images show different shades . Using ArcGIS Server platform , spatial data engine ArcSDE and SQL Server2000 database using Visual Studio ( C #) . The NET2005 language Lop Nur \
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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Photogrammetry and Surveying, Mapping and Remote Sensing > Surveying, Mapping and Remote Sensing technology
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