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Proceedings Paper

Fast autonomous registration of Landsat, SPOT, and digital map imagery
Author(s): Andrew John Lee; Neil H. Carender; Douglas J. Knowlton; David M. Bell; J. Kent Bryan
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Paper Abstract

Reggie, an autonomous image registration software package which can process several diverse types of image data, including Landsat thematic mapper (TM), SPOT high resolution visible (HRV), and ADRG digital map imagery is described. This software package is in the final stages of development, and will soon be commercially available. The Reggie algorithm employs sensor geometry models to fully exploit all a priori knowledge of the image collection geometries and the potential image distortions. Sensor models for Landsat TM and SPOT HRV sensors and digital map data are described. Initial results demonstrating registration accuracy and execution time are presented for the registration of Landsat TM and SPOT HRV imagery and ADRG digital map data.

Paper Details

Date Published: 24 September 1993
PDF: 12 pages
Proc. SPIE 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision, (24 September 1993); doi: 10.1117/12.155816
Show Author Affiliations
Andrew John Lee, Harris Information Systems Div. (United States)
Neil H. Carender, Harris Information Systems Div. (United States)
Douglas J. Knowlton, Harris Information Systems Div. (United States)
David M. Bell, Harris Information Systems Div. (United States)
J. Kent Bryan, Harris Information Systems Div. (United States)


Published in SPIE Proceedings Vol. 1944:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision
Eamon B. Barrett; David M. McKeown, Editor(s)

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