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TitleGeometric correction of WorldView-1 data without ground control points: preliminary results
AuthorSchmitt, C; Toutin, T
SourceProgramme, 32nd Canadian Symposium on Remote Sensing and the 14th Congress of the Association québecoise de télédétection/Program, 32e Symposium canadien sur la télédétection et la 14e Congrès de l'association québecoise de télédétection; 2011 p. 1-8
Links32nd Canadian Symposium on Remote Sensing
Alt SeriesEarth Sciences Sector, Contribution Series 20110203
Meeting32nd Canadian Symposium on Remote Sensing; Sherbrooke, Québec; CA; June 13 to 16, 2011
Mediaon-line; digital
Subjectsgeophysics; remote sensing; geometric analyses; geodesy; satellite geodesy; satellite imagery
Illustrationssatellite images
ProgramRemote Sensing Science
AbstractCollecting ground control points (GCPs) for 3D satellite data processing can be an expensive and time-consuming task in any research and/or production environment. This work discusses the potential of a new hybrid algorithm that does not require user-collected GCPs. The new hybrid Toutin model (HTM) based on the original Toutin model (TM), was developed to provide a robust and user-friendly solution for fast high resolution orthorectification and digital surface model (DSM) generation.
The HTM was applied to monoscopic and stereoscopic panchromatic WorldView-1 over Beauport, Quebec. The accuracy was evaluated against ground points collected from both the DTM and the intensity image of 1m spacing LIDAR data. The original TM and HTM model evaluation showed similar results in planimetry (monoscopy) but the hybrid model showed 1meter better results in elevation in the stereo mode due to the geometry configuration. For DSM evaluation, the original TM and HTM obtained similar LE68%results but HTM showed an improvement in LE90% (6.2m for HTM compared to 7.3m for the original TM) which was consistent with the stereo model accuracies. The HTM without GCPs is a good alternative to the original TM for geometric correction and DSM generation. The HTM can facilitate the user's workflow in an operational environment and provide the best solution for data analysis in remote environments where GCP collection is not possible or too costly.

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