Print Email Facebook Twitter Features of Point Clouds and Functionalities of Processing Software Title Features of Point Clouds and Functionalities of Processing Software Author Lemmens, M.J.P.M. Faculty Architecture and The Built Environment Department OTB Research Date 2014-10-23 Abstract To be useful, the millions or even billions of 3D points generated by a variety of active and passive sensors need to be stored, organised, combined, geo-referenced, measured, analysed and distributed within organisations or outward. Initially, the data is unorganised; software has been designed, developed and put on the market place to organise the unorganised and to extract information from the point clouds. In principle, the curved 2D surface can represent any instance such as soil pollution, forest biomass, rainfall, terrain elevation or the seabed. In the field of geomatics, the phenomenon will usually be the terrain surface or the seabed. This paper focuses on point clouds from which DEMs or DSMs can be generated, stemming from sources including airborne Lidar; Terrestrial Laser Scanning (TLS); airborne and spaceborne Radar; close-range, airborne and spaceborne imagery; and sonar. This paper presents first the main features of point clouds and focusses next on the diverse functionalities of point clouds processing software presently on the market, including : data storage; geo-referencing; the filtering aspect of point-cloud creation; interpolation; and visualisation and editing. Subject PhotogrammetryPoint CloudsLidar To reference this document use: http://resolver.tudelft.nl/uuid:2c76978c-51ac-49eb-8452-b8997bc0cf38 Source 14th International Scientific and Technical Conference "From Imagery to Maps: Ditigal Photogrammetric Technologies" October 20-23, 2014, Hainan, China Part of collection Institutional Repository Document type conference paper Rights (c) 2014 Lemmens, M.J.P.M. Files PDF Paper_Lemmens_2014.pdf 5.13 MB Close viewer /islandora/object/uuid:2c76978c-51ac-49eb-8452-b8997bc0cf38/datastream/OBJ/view