Premium
Automatic Measurement of Control Points for Aerial Image Orientation
Author(s) -
Berveglieri Adilson,
Tommaselli Antonio M. G.
Publication year - 2017
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12190
Subject(s) - bundle adjustment , orientation (vector space) , ground sample distance , georeference , computer vision , artificial intelligence , aerial image , aerial photography , scale (ratio) , computer science , block (permutation group theory) , remote sensing , sample (material) , workflow , elevation (ballistics) , image (mathematics) , geography , cartography , mathematics , pixel , chemistry , geometry , chromatography , database , physical geography
This paper presents an automatic workflow for measuring natural ground control points ( GCP s) in aerial images. The approach is based on the acquisition of multi‐scale fisheye vertical terrestrial images over distinguishable areas to automatically generate georeferenced image patches. These are matched with aerial images using correspondence techniques and then used as ground control. The technique was assessed using a bundle block adjustment, indicating an accuracy based on check points of approximately 1/5 of the ground sample distance ( GSD ) in planimetry and 1 GSD in elevation. Automatic GCP measurements thus improved the final accuracy in comparison with manual measurement.