Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 497-504, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
21 Jun 2016
V. Hron and L. Halounova Department of Geomatics, Faculty of Civil Engineering, Czech Technical University in Prague, Thákurova 7, 166 29 Prague 6, Czech Republic
Keywords: Buildings, Change Detection, Pixel-based, Object-based, Aerial Photographs, Open-source Abstract. The Fundamental Base of Geographic Data of the Czech Republic (hereinafter FBGD) is a national 2D geodatabase at a 1:10,000 scale with more than 100 geographic objects. This paper describes the design of the permanent updating mechanism of buildings in FBGD. The proposed procedure belongs to the category of hybrid change detection (HCD) techniques which combine pixel-based and object-based evaluation. The main sources of information for HCD are cadastral information and bi-temporal vertical digital aerial photographs. These photographs have great information potential because they contain multispectral, position and also elevation information. Elevation information represents a digital surface model (DSM) which can be obtained using the image matching technique. Pixel-based evaluation of bi-temporal DSMs enables fast localization of places with potential building changes. These coarse results are subsequently classified through the object-based image analysis (OBIA) using spectral, textural and contextual features and GIS tools. The advantage of the two-stage evaluation is the pre-selection of locations where image segmentation (a computationally demanding part of OBIA) is performed. It is not necessary to apply image segmentation to the entire scene, but only to the surroundings of detected changes, which contributes to significantly faster processing and lower hardware requirements. The created technology is based on open-source software solutions that allow easy portability on multiple computers and parallelization of processing. This leads to significant savings of financial resources which can be expended on the further development of FBGD.
Conference paper (PDF, 1517 KB)

Citation: Hron, V. and Halounova, L.: NATIONWIDE HYBRID CHANGE DETECTION OF BUILDINGS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 497-504,, 2016.

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