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Nationwide Hybrid Change Detection of Buildings

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F16%3A00300917" target="_blank" >RIV/68407700:21110/16:00300917 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/497/2016/" target="_blank" >http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/497/2016/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/isprs-archives-XLI-B7-497-2016" target="_blank" >10.5194/isprs-archives-XLI-B7-497-2016</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Nationwide Hybrid Change Detection of Buildings

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DE - Earth magnetism, geodesy, geography

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 XXIII ISPRS Congress, Prague

  • ISBN

  • ISSN

    2194-9034

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    497-504

  • Publisher name

    Copernicus GmbH (Copernicus Publications

  • Place of publication

    Göttingen

  • Event location

    Prague

  • Event date

    Jul 12, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000393155900076