COMPARATIVE ANALYSIS OF POINT CLOUDS OBTAINED BY TLS AND PHOTOGRAMMETRY - Publication - Bridge of Knowledge

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COMPARATIVE ANALYSIS OF POINT CLOUDS OBTAINED BY TLS AND PHOTOGRAMMETRY

Abstract

Technical progress in the field of 3D modelling resulted in increasing use of such technics to create a virtual 3D models of objects. Three-dimensional spatial models are used in a wide range of applications such as inventorisation of architectural-construction, an inventorisation of archaeological sites, medicine and wide-known engineering. Spatial models are created based on the point clouds acquired with laser scanners or photogrammetry. Each of these data acquiring methods has its advantages, limitations and accuracy possible to obtain. For this reason, laser scanning and photogrammetry can be used for a variety of applications, although there are also areas where both methods work well. In areas where laser scanning and photogrammetry can be applied equally (accuracy and reliability of measurement results are at assumed level) a factor influencing choice of measurement technology, in most cases, is cost of the measuring apparatus and cost of measurement. This article is included comparative analysis of the data in the form of a point cloud obtained with the use of terrestrial laser scanning (TLS) and close-range photogrammetry baser on images obtained from nonmetric digital camera. The test objects were inside surfaces of towers walls of Wisloujscie Fortress in Gdansk (Poland).

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Language:
English
Publication year:
2018
Bibliographic description:
Widerski T., Daliga K., Chorąży D.: COMPARATIVE ANALYSIS OF POINT CLOUDS OBTAINED BY TLS AND PHOTOGRAMMETRY// 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing/ : , 2018,
DOI:
Digital Object Identifier (open in new tab) 10.5593/sgem2018/2.3/s10.009
Verified by:
Gdańsk University of Technology

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