PHOTOGRAMMETRIC ACCURACY AND MODELING OF ROLLING SHUTTER CAMERAS

• Published in: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Main Authors: Ye, W., Qiao, G., Kong, F., Guo, S., Ma, X., Tong, X., Li, R.
• Format: Text
• Language: English
• Published: 2018
• Subjects: Antarctic; Byrd; Byrd Glacier; East Antarctica; The Antarctic; Antarc*; Antarctica; Ice Sheet
• Online Access: https://doi.org/10.5194/isprs-annals-III-3-147-2016; https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-3/147/2016/

Global climate change is one of the major challenges that all nations are commonly facing. Long-term observations of the Antarctic ice sheet have been playing a critical role in quantitatively estimating and predicting effects resulting from the global changes. The film-based ARGON reconnaissance imagery provides a remarkable data source for studying the Antarctic ice-sheet in 1960s, thus greatly extending the time period of Antarctica surface observations. To deal with the low-quality images and the unavailability of camera poses, a systematic photogrammetric approach is proposed to reconstruct the interior and exterior orientation information for further glacial mapping applications, including ice flow velocity mapping and mass balance estimation. Some noteworthy details while performing geometric modelling using the ARGON images were introduced, including methods and results for handling specific 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 were tested. As an example, four images in the Byrd glacier region were used to assess the accuracy of the geometric modelling. A digital elevation model (DEM) and an orthophoto map of Byrd glacier were generated. The accuracy of the ground positions estimated by using independent check points is within one nominal pixel of 140 m of ARGON imagery. Furthermore, a number of significant features, such as ice flow velocity and regional change patterns, will be extracted and analysed.