Roof type determination from a sparse laser scanning point cloud
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F12%3A10130195" target="_blank" >RIV/00216208:11310/12:10130195 - isvavai.cz</a>
Result on the web
<a href="http://web.natur.cuni.cz/gis/aucg/index.php?option=com_phocadownload&view=category&download=96:petr-hofman-marketa-potkova-roof-type-determination-from-a-sparse-laser-scanning-point-cloud-&id=14:issue-12012&Itemid=98" target="_blank" >http://web.natur.cuni.cz/gis/aucg/index.php?option=com_phocadownload&view=category&download=96:petr-hofman-marketa-potkova-roof-type-determination-from-a-sparse-laser-scanning-point-cloud-&id=14:issue-12012&Itemid=98</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Roof type determination from a sparse laser scanning point cloud
Original language description
A method for determining a roof coverage type and a building height from a sparse laser scanning point cloud was introduced in Hofman (2008). This model driven approach utilizes 2D building outlines from the Digital Cadastral Map (DCM) and orthoimages inaddition to an airborne laser scanning point cloud. Its results were unsatisfactory, since the determination of roof types was not reliable. Thus, a practical application of this method was not possible. While searching possibilities for its improvement, it was discovered that derivation of roof edges from orthoimages was the weakest point in the workflow. A new model driven method is presented, which is suitable for buildings with a rectangular plot. Based on four predefined roof types, a subset of apoint cloud is divided into several groups corresponding to roof planes. The best fitting planes are found by means of least squares adjustment with an iterative exclusion of outliers. The most probable roof type is selected by an evaluat
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Universitatis Carolinae. Geographica
ISSN
0300-5402
e-ISSN
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Volume of the periodical
47
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
5
Pages from-to
35-39
UT code for WoS article
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EID of the result in the Scopus database
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