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http://dx.doi.org/10.7780/kjrs.2019.35.5.1.8

A Method of DTM Generation from KOMPSAT-3A Stereo Images using Low-resolution Terrain Data  

Ahn, Heeran (Image Engineering Research Center, 3DLabs Co., Ltd.)
Kim, Taejung (Department of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.35, no.5_1, 2019 , pp. 715-726 More about this Journal
Abstract
With the increasing prevalence of high-resolution satellite images, the need for technology to generate accurate 3D information from the satellite images is emphasized. In order to create a digital terrain model (DTM) that is widely used in applications such as change detection and object extraction, it is necessary to extract trees, buildings, etc. that exist in the digital surface model (DSM) and estimate the height of the ground. This paper presents a method for automatically generating DTM from DSM extracted from KOMPSAT-3A stereo images. The technique was developed to detect the non-ground area and estimate the height value of the ground by using the previously constructed low-resolution topographic data. The average vertical accuracy of DTMs generated in the four experimental sites with various topographical characteristics, such as mountainous terrain, densely built area, flat topography, and complex terrain was about 5.8 meters. The proposed technique would be useful to produce high-quality DTMs that represent precise features of the bare-earth's surface.
Keywords
KOMPSAT-3A; DTM; DSM; Conditional Dilation;
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Times Cited By KSCI : 3  (Citation Analysis)
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