Building detection and regularisation using DSM and imagery information

Autor:	Petra Helmholz, Yousif A. Mousa, Dimitri Bulatov, David Belton
Přispěvatelé:	Publica
Rok vydání:	2019
Předmět:	polygonal simplification Laser scanning business.industry Computer science building detection Computer Science Applications Earth and Planetary Sciences (miscellaneous) DEM extraction Computer vision digital surface model Artificial intelligence Computers in Earth Sciences business Engineering (miscellaneous)
Zdroj:	The Photogrammetric Record. 34:85-107
ISSN:	1477-9730 0031-868X
Popis:	An automatic method for the regularisation of building outlines is presented, utilising a combination of data- and model-driven approaches to provide a robust solution. The core part of the method includes a novel data-driven approach to generate approximate building polygons from a list of given boundary points. The algorithm iteratively calculates and stores likelihood values between an arbitrary starting boundary point and each of the following boundary points using a function derived from the geometrical properties of a building. As a preprocessing step, building segments have to be identified using a robust algorithm for the extraction of a digital elevation model. Evaluation results on a challenging dataset achieved an average correctness of 96 center dot 3% and 95 center dot 7% for building detection and regularisation, respectively.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7a57778822c1738daa590fe88af3f99 https://doi.org/10.1111/phor.12275 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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