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http://dx.doi.org/10.7848/ksgpc.2017.35.5.349

Investigation of Topographic Characteristics of Parcels Using UAV and Machine Learning  

Lee, Chang Han (Dept of GIS Engineering, Namseoul University)
Hong, Il Young (Dept of GIS Engineering, Namseoul University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.35, no.5, 2017 , pp. 349-356 More about this Journal
Abstract
In this study, we propose a method to investigate topographic characteristics by applying machine learning which is an artificial intelligence analysis method based on the spatial data constructed using UAV and the training data created through spatial analysis. This method provides an alternative to the subjective judgment and accuracy of spatial data, which is a problem of existing topographic characteristics survey for officially assessed land price. The analysis method of this study is expected to improve the problems of topographic characteristics survey method of existing field researchers and contribute to more accurate decision of officially assessed land price by providing more objective land survey method.
Keywords
Unmanned Aerial Vehicle; Machine Learning; Spatial Analysis; Topographical Characteristics;
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Times Cited By KSCI : 5  (Citation Analysis)
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