Open AccessPHOTOGRAMMETRIC ACCURACY AND MODELING OF ROLLING SHUTTER CAMERAS
Author(s) -
W. Ye,
Gang Qiao,
Fan Kong,
Song Guo,
Xianjue Ma,
Xiaohua Tong,
R. Li
Publication year - 2016
Publication title -
isprs annals of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 38
eISSN - 2194-9042
pISSN - 2196-6346
DOI - 10.5194/isprs-annals-iii-3-147-2016
Subject(s) - photogrammetry , geology , orthophoto , remote sensing , digital elevation model , ice stream , ice sheet , elevation (ballistics) , artificial intelligence , point cloud , orbiter , fiducial marker , geodesy , computer vision , computer science , geomorphology , cryosphere , climatology , sea ice , geometry , mathematics , aerospace engineering , engineering
Global climate change is one of the major challenges that all nations are commonly facing. Long-term observations of the Antarcticice sheet have been playing a critical role in quantitatively estimating and predicting effects resulting from the global changes. Thefilm-based ARGON reconnaissance imagery provides a remarkable data source for studying the Antarctic ice-sheet in 1960s, thusgreatly extending the time period of Antarctica surface observations. To deal with the low-quality images and the unavailability ofcamera poses, a systematic photogrammetric approach is proposed to reconstruct the interior and exterior orientation information forfurther glacial mapping applications, including ice flow velocity mapping and mass balance estimation. Some noteworthy detailswhile performing geometric modelling using the ARGON images were introduced, including methods and results for handlingspecific effects of film deformation, damaged or missing fiducial marks and calibration report, automatic fiducial mark detection,control point selection through Antarctic shadow and ice surface terrain analysis, and others. Several sites in East Antarctica weretested. As an example, four images in the Byrd glacier region were used to assess the accuracy of the geometric modelling. A digitalelevation model (DEM) and an orthophoto map of Byrd glacier were generated. The accuracy of the ground positions estimated byusing independent check points is within one nominal pixel of 140 m of ARGON imagery. Furthermore, a number of significantfeatures, such as ice flow velocity and regional change patterns, will be extracted and analysed