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ACRS 2004


GPS & Photogrammetry: Digital Photogrammetry

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Errors in Digital Surface Models Derived From Airborne Ifsar

David BRUCE
Senior Lecturer, School of Natural and Built Environments, University of South Australia
GPO Box 2471, Adelaide, South Australia, Australia, 5001,
Tel: (61)-8-83021856 Fax: (61)-8-83022252
Email: david.bruce@unisa,.edu.au


ABSTRACT Bruce (1996) reported on errors and accuracy of Digital Elevation Models derived from IFSAR measurements from the NASA/JPL AIRSAR mission to Australia in 1993. In this research the best results were reported when gross errors from poorly correlated returns were ignored, a global rotation to the IFSAR DEM was applied via the use of ground control points in the near and far range and when vertical features (bushes, trees, houses, etc) were ignored in the generation of the statistics. During August 2000, an improved version of the NASA/JPL TOPSAR interferometer was flown over the same test sites as it was in 1993.

This paper reports the results of analysing the Digital Surface Model (DSM) from the TOPSAR instrument by comparison with Digital Ground Models (DGM) derived from medium scale and large scale photogrammetric observations. The same type of errors reported in Bruce (1996) were again observed, but with the extent of the errors diminished and with the magnitude of the errors significantly improved. The effects of multi-pathing of the backscattered signal off the aircraft wing tips, which was just noticeable in the 1993 data, was again observed in the 2000 data. However, the processing of the data from 2000 was able to model this phenomenon using a FFT. In the current data the effects of vertical features such as shrubs, trees, buildings, etc. are very obvious. Literature suggests a number of strategies to transform DSM data into DGM (bald earth) data. Some (NOAA (2004), Apogee – Nextmap (2004)) suggest the use of a simultaneous P Band interferometer, which enables canopy penetration in a forest situations, but of course does not enable solid objects such as buildings to be removed. Wang et al (2001) propose a method of using local minima and a hierarchical surface fitting method. A similar approach was applied in the work presented in this current paper, except that firstly vertical features were discriminated via the use of the co-registered polarmetric data. For pixels mapped as vertical objects, a spatial filtering technique was then applied, wherein neighbourhood local minima were compared with heights of central pixels. Neighbourhood size was successively increased. Observing the trend in height difference against the size of the neighbourhood enabled a threshold to be extracted which provided an estimate of the height of the ground object. This technique tended to fail when the slope of the terrain around the subject pixel became excessive and thus the method was required to be iterative, using the apparent slope of the terrain in a corrective term.

References
  • Apogee – Next Map, 2004, P-band - Seeing through the forest despite the trees - website http://www.apogee.com.au/products/nextmap/pband.html (viewed June 04, 2004) Bruce, D.A., 1996, The Accuracy of Topographic Shape Determination from Interferometric SAR. In Proceedings of 8th Australasian Remote Sensing Conference, Canberra, 25-29 March, 1996.
  • NOAA, 2004, Remote Sensing for Coastal Management – IFSAR website http://www.csc.noaa.gov/crs/rs_apps/sensors/ifsar.htm (viewed June 12, 2004) Wang, Y., B. Mercer, V. C. Tao, J. Sharma and S. Crawford (2001). Automatic generation of bald earth digital elevation models from digital surface models created using airborne IFSAR. In: Proceedings of 2001 ASPRS Annual Conference, St. Louis, Missouri, U. S. A., April 23-27, 2001. (Also at http://www.intermaptechnologies.com/PDF_files/asprs2001_Intermap_E.pdf )
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