Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data

Mritunjay Kumar Singh*, R. D. Gupta, Snehmani, Anshuman Bhardwaj, Ashwagosha Ganju

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The orbital and the rational polynomial coefficients (RPC) models are the two most commonly used models to compute a three-dimensional coordinates from an image stereo-pair. But it is still confusing that with the identical user provided inputs, which one of these two models provides more accurate digital elevation model (DEM), especially for mountainous terrain. This study aimed to find out the answer by evaluating the impact of used models on the vertical accuracy of DEM extracted from Cartosat-1 stereo data. We used high-accuracy photogrammetric DEM as the reference DEM. Apart from general variations in statistics, surprisingly in a few instances, both the DEMs provided contrasting results, thus proving the significance of this study. The computed root mean square errors and linear error at 90% (LE90) were lower in case of RPC DEM for various classes of slope, aspect and land cover, thus suggesting its better relative accuracy.

Original languageEnglish
Pages (from-to)506-526
Number of pages21
JournalGeocarto International
Volume31
Issue number5
Early online date1 Jul 2015
DOIs
Publication statusPublished - 2016

Keywords

  • Cartosat-1, accuracy assessment
  • digital elevation model (DEM)
  • orbital model
  • rational functions model (RFM)
  • rational polynomial coefficients (RPC)

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