Guided close range photogrammetry for 3D modelling of.
Henri Eisenbeiss, 2009, UAV photogrammetry, PhD Thesis, ETH-Swiss Federal Institute of Technology Technical Studies-Zurich, Member of Comitee: Patias Petros 2008 Sylaiou Stella, 2008, Dissemination and publication of cultural movable monuments with the aid of Information and Communication Technologies (ICT), PhD Thesis, AUTH, Supervisor: Patias Petros.
Newcastle University eTheses: Landslide monitoring using.
I would like to dedicate this thesis to all my family who supported me on achieving my PhD, especially to my amazing parents Clara Orzechowski and Moacir Gadotti who I love, admire, and miss so much (you are the best parents in the world!), to my great stepfather Renato Orlando Pereira, to my brilliant and adorable brother Dimitri Gadotti, and to my wonderful parents-in-law Jussara Ramos.
Newcastle University eTheses. - theses.ncl.ac.uk.
In terms of the backend service, Structure-from-Motion (SfM) photogrammetry was implemented to provide fully-automated processing to offer user-friendliness to non-experts.
Browse by Thesis from 2018 - The University of Liverpool.
Airborne Laser Scanning (ALS) is a fully commercial technology, which has seen rapid uptake from the photogrammetry and remote sensing community to classify surface features and enhance automatic object recognition and extraction processes. 3D object segmentation is considered as one of the major research topics in the field of laser scanning for feature recognition and object extraction.
Section 1 - Close range digital photogrammetry.
Evans, SEK (2018) Applied Photogrammetry in Orthopaedic Implant Manufacture. PhD thesis, University of Liverpool. Shaw, DJ (2018) Ireland and the Irish in Post-War British Politics. PhD thesis, University of Liverpool. Robinson, LM (2018) An investigation of the predictors, barriers and facilitators to recruitment and retention of children and families to oral health trials. PhD thesis.
Impact of image quality on SfM Photogrammetry: colour.
Item Type: Thesis (PhD) Additional Information: Collaborating establishment: Lancaster University. Physical Location: This item is held in stock at Kingston University library. Un.
Abstract of the PhD Thesis Real-Time EKF-Based Structure.
Abstract of the thesis Airborne photogrammetry provides a flexible method for acquiring high-resolution imagery in a timely manner over large areas. Aerial images are increasingly being used in a more automatic and quantitative way for applications such as land cover classification and environmental monitoring. Apart from the high geometric quality of photogrammetric sensors, also their.
The development of GIS to aid conservation of.
PhD Thesis List; MSc Thesis List; Diploma Thesis List; Research. Programmes; Equipment; Contact; Research. Photogrammetry. Production of maps from aerial photographs. Analytical Photogrammetry, optimization, accuracy, reliability and software development. Photographic exposures with the use of high precision photogrammetric cameras. Use of high precision photogrammetric instrumentation for.
New and improved drone mapping software - EPFL.
Abstract The soul of the thesis is dual, reflecting the different research activities that characterized this PhD project, which was carried out part at the University and part at Helica s.r.l., an.
Multi-view stereopsis (MVS) from an unmanned aerial.
Remote Sensing Projects provide you most advanced remote sensing research ideas to shine your research career successfully. Remote sensing is the flowering research area where students and research scholars are keenly interested to do their research due to the its advanced technology being used in our daily life affecting factors like climatic changes and urbanization.
PhD thesis - Advanced Methods for LiDAR and.
Citations Cronk, S. (2007). Automated methods in digital close range photogrammetry. PhD thesis, Department of Geomatics, Faculty of Engineering, The University of Melbourne.
Remote Sensing Projects - PHD TOPIC.
Morphological characterization of full waveform airborne LiDAR data Context This PhD thesis aims at exploring the potentialities of full waveform LiDAR data to finely characterize observed structures. To this end, we plan to explore morphological multi- scale approaches. The methodological developments will be applied to vegetation characterization in urban areas. The main principle of remote.