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Ravanbakhsh, M.; Wang, L.-W.; Fraser, C. S.; Lewis, A. (2012)
Publisher: Copernicus Publications
Languages: English
Types: Article
Subjects: TA1-2040, T, TA1501-1820, Applied optics. Photonics, Engineering (General). Civil engineering (General), Technology
The Australian Geographic Reference Image (AGRI) is a national satellite image mosaic that covers the vast Australian continent. Formed from 9560 ALOS PRISM images, AGRI provides a spatially correct reference image at 2.5 m resolution, with 1-pixel accuracy. The production of AGRI was made feasible by the development and implementation of a long-strip adjustment technique that facilitated a refinement in the georeferencing process of orbit and attitude parameters for orbital segments comprising 50 or more images. The strip of images is effectively treated as a single image. The ground control requirements for such full-pass georeferencing, which does not require the measurement of tie or pass points, amount to only 4–8 GCPs for the complete strip rather than 4 or more per image within the strip. Once the adjusted orbit parameters are obtained, the georeferencing and orthorectification process can revert to a fully automatic image-by-image computation. This paper first overviews AGRI and then describes the longstrip adjustment technique that made its production possible. Testing and validation are then discussed via the example of the georeferencing of a 1527 km single strip of 55 PRISM images. The testing phase verified that 1-pixel accuracy georeferencing could be achieved with the long-strip adjustment approach, and in the production of AGRI accuracy checks against 2460 checkpoints yielded an RMS discrepancy of close to 2.5 m and a 90% Circular Error (CEP90) of 5.5 m.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Barista, 2012. Barista product information webpage, http://www.baristasoftware.com.au [last date accessed: 3 Apr. 2012].
    • Chen, L-C., Teo, T.-A. & Liu, C.-L., 2006. The Geometrical Comparisons of RSM and RFM for FORMOSAT-2 Satellite Images. Photogrammetric Engineering & Remote Sensing, 72(5), pp. 573-579.
    • Crespi, M., Fratarcangelli, F., Gianonne, F. & Pieralice,F., 2007. SISAR: a rigorous orientation model for synchronous and asynchronous pushbroom sensor imagery. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(1/W51), 6 pages (on CD-ROM).
    • Fraser, C. S., Dial, G., Grodecki, J., 2006. Sensor orientation via RPCs. ISPRS Jnl Photogramm. & Remote Sens. 60(3), pp.182-194.
    • Fraser, C. S. & Ravanbakhsh, M., 2011. Precise Georeferencing of Long Strips of ALOS Imagery. Photogrammetric Engineering & Remote Sensing, 77(1), pp. 87-93.
    • Lewis, A., Wang, L-W. & Coghlan, R., 2011. AGRI: The Australian Geographic Reference Image. Technical Report GeoCat# 72657, Geoscience Australia, 37 pages. www.ga.gov.au/image_cache/GA20164.pdf Poli, D., 2007. A rigorous model for spaceborne linear array sensor. Photogrammetric Engineering & Remote Sensing, 73(2), pp. 187-196.
  • Inferred research data

    The results below are discovered through our pilot algorithms. Let us know how we are doing!

    Title Trust
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