ACCURATE ORIENTATION FOR AIRBORNE MAPPING SYSTEMS

Stringent requirements on the accuracy of attitude determination are currently a major challenge for strapdown INS/GPS integration, which is at the core of self-contained airborne remote sensing and mapping systems. This paper reviews the error models for INS/GPS integration and closely examines the designing filtering methods for improving attitude accuracy in the bandwidth in which an inertial system does not benefit from frequent GPS position/velocity updates. Several filtering methods are designed based on the spectral analysis of the raw inertial signal in a dynamic environment. These include a spectral technique for dither spike removal and a class of low-pass finite-impulse-response (FIR) filters operating in forward/backward manner for achieving zero phase distortion. The orientation performance of the entire system with different filters is evaluated by comparing it to the "true" attitude information provided by a photogrammetric block adjustment. Results show clearly that the choice of an appropriate filter is decisive for attitude accuracy.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
• Corporate Authors:

  American Society for Photogrammetry and Remote Sensing

  5410 Grosvenor Lane, Suite 210
  Bethesda, MD  United States  20814-2160
• Authors:
  • Skaloud, J
  • Schwarz, K-P
• Publication Date: 2000-4

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 393-401
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 66
  • Issue Number: 4
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Airborne navigational aids; Geographic information systems; Global Positioning System; Ground transportation; Mapping; Photogrammetry; Remote sensing
• Subject Areas: Design; Highways; Planning and Forecasting; I21: Planning of Transport Infrastructure;

Filing Info

• Accession Number: 00792578
• Record Type: Publication
• Files: TRIS
• Created Date: May 11 2000 12:00AM