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The Study Of Extraction And Quality Assessment For Land Ues Change Based On Multi-source Remotely Sensed Images

Posted on:2013-06-29Degree:MasterType:Thesis
Country:ChinaCandidate:Z FangFull Text:PDF
GTID:2230330371995942Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
With the development, application and promotion of geographic information system (GIS), GPS, RS and other related technologies, the use of3S technology in dynamic monitoring of land and data management becomes more and more important. The current land system now is using3S technology for a nationwide annual dynamic remote sensing monitoring of land use change, to get massive information, observe and master land use and management, reasonable planning, land management, promptly investigate and deal with illegal use of land and the destruction of farmland, therefore, the land use information extraction of deformation of determines the analysis results the reliability and the outcome of the application of real effectiveness, and the quality of scientific evaluation of the study has important significance.This article is taking the "2010annual national survey of land use changes in monitoring and verification project" remote sensing monitoring task as the background research based on dynamic monitoring project of multi-source remote sensing image, making orthophoto map, according to the relevant requirements and standards, extracting change information, and evaluate its quality. At the same time, this paper adopts the complete field survey and measurement of annual change survey data and field verification data for the real data and experimental data are compared, the reference patch area, quantity, type, spatial distribution, monitoring pattern and regional GDP and population gross relation evaluation index, evaluate remote sensing monitoring changes of information geometry accuracy, precision and accuracy attribute space.The experiments show that project is feasible, which is remote sensing monitoring bas ed on the dynamic multi-source images. The project ensured that key areas are more careful ly monitored. Monitoring of plots and the overall classification accuracy is64.38%, the ove rall error rate is0.18;plot geometry error is0.2856, the region overall error is0.4727。Mis take to mention and mention leakage is mainly concentrated in the urban fringe within the c ity and around15km range. Conclusions provide some reference value to projects of land dynamic monitoring and other related investigation.
Keywords/Search Tags:Remote sensing monitoring, land use change, extracting change information, accuracy assessment
PDF Full Text Request
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