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http://dx.doi.org/10.7780/kjrs.2013.29.5.5

Extraction of 3D Building Information by Modified Volumetric Shadow Analysis Using High Resolution Panchromatic and Multi-spectral Images  

Lee, Taeyoon (Satellite Information Research Center, Korea Aerospace Research Institute)
Kim, Youn-Soo (Satellite Information Research Center, Korea Aerospace Research Institute)
Kim, Taejung (Department of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.29, no.5, 2013 , pp. 499-508 More about this Journal
Abstract
This article presents a new method for semi-automatic extraction of building information (height, shape, and footprint location) from monoscopic urban scenes. The proposed method is to expand Semi-automatic Volumetric Shadow Analysis (SVSA), which can handle occluded building footprints or shadows semi-automatically. SVSA can extract wrong building information from a single high resolution satellite image because SVSA is influenced by extracted shadow area, image noise and objects around a building. The proposed method can reduce the disadvantage of SVSA by using multi-spectral images. The proposed method applies SVSA to panchromatic and multi-spectral images. Results of SVSA are used as parameters of a cost function. A building height with maximum value of the cost function is determined as actual building height. For performance evaluation, building heights extracted by SVSA and the proposed method from Kompsat-2 images were compared with reference heights extracted from stereo IKONOS. The result of performance evaluation shows the proposed method is a more accurate and stable method than SVSA.
Keywords
Volumetric shadow analysis; Semi-automation; 3D building information extraction; Single high resolution satellite image; Multi-spectral images;
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Times Cited By KSCI : 5  (Citation Analysis)
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