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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Research on Updating Land Use Database Dynamically by Remote Sensing Monitoring
verfasst von : Xiuming Jia, Qiang Li
Erschienen in: Emerging Research in Artificial Intelligence and Computational Intelligence
Verlag: Springer Berlin Heidelberg
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The variation of land use monitored by dynamically remote sensing can be calculated by gray value of corresponding inter-temporal image pixel difference. The image subtraction method can enhance the remote sensing images, which can highlight the variation data, and then dynamically monitor the variation. This Paper selects Xinrong District, Datong as an example, by using image interpolation method to deal with two remote sensing images for interpolation analysis, and then extract land change information. After the verification of field measurement, removing pseudo changing pixel, the land use database is updated, which achieve the purpose of using remote sensing method to monitor land use database dynamically. The experimental results show that the image interpolation method for extracting the variation of inter-temporal remote sensing images of land use is fast, accurate and practical.