Accuracy assessment of radargrammetric DEMs derived from RADARSAT-2 ultrafine mode

M. Ali Demir*, Elif Sertel, Nebiye Musaoglu, Cankut Ormeci

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

The aim of this study is to investigate the accuracy and reliability of radargrammetric DEMs generated from RADARSAT-2 stereo pairs. Two ultrafine mode images U7 and U26 were acquired over an area in Istanbul from descending orbit, HH polarization, in SGF format. U7 and U26 were taken on August 2, 2009 and July 30, 2009 with view angles of 34.00 - 35.30 and 48.50 - 49.50 at the near-far edges, respectively. The main project steps for DEM generation were; 1) Stereo model set up; 2) creating epipolar images; 3) image matching; 4) DEM editing. In order to set up the stereo model, ground control points (GCPs) were obtained from IKONOS image for planimetric information. Also 1:5000 scaled topographic maps were used for elevation information. After the setting up the stereo model with Toutin's 3D physical model developed at the Canada Centre for Remote Sensing (CCRS) and rational function model, radargrammetric DEMs were generated. Root mean square errors (RMSEs) of both GCPs and Independent Check Points (ICPs) were analyzed to evaulate the planimetric and elevation accuracy. Several transects were selected and elevation values obtained from Toutin's and rational function models were statistically compared with a reference DEM. Generated DEMs were also visually compared with Global Digital Elevation Model (GDEM).

Original languageEnglish
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume38
Issue number1W17
Publication statusPublished - 2015
EventISPRS Istanbul Workshop 2010 on Modeling of Optical Airborne and Spaceborne Sensors - Istanbul, Turkey
Duration: 11 Oct 201013 Oct 2010

Keywords

  • Accuracy
  • GDEM
  • Radargrammetric DEM
  • RADARSAT-2
  • Rational function model
  • Stereo SAR

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