Automatic sensor orientation using horizontal and vertical line feature constraints
- Submitting institution
-
University College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12622
- Type
- D - Journal article
- DOI
-
10.1016/j.isprsjprs.2019.02.011
- Title of journal
- ISPRS Journal of Photogrammetry and Remote Sensing
- Article number
- -
- First page
- 172
- Volume
- 150
- Issue
- -
- ISSN
- 0924-2716
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This internationally authored paper was published in the top journal in the discipline as a first inter-laboratory collaboration following the completion of the EPSRC Light Controlled Factory Project EP/K018124/1 which developed a world leading large volume metrology system based on low-cost camera technology. The paper provided a means of improving the accuracy of 3D analysis of remote imagery by utilising the frequently rectilinear nature of human-engineered features within urban and industrial environments. [72]
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
