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Proceedings Paper

Aliasing in remote sensing imagery
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Paper Abstract

Aliasing due to undersampling is commonly present in all digital imagery. The imaging characteristics of the sensor, including optical blur, detector integration blur and electronic filter blur, determine the potential for aliasing in the digital images produced by that sensor. The actual extent of aliasing in any particular image depends on the scene spatial content. In this paper, we analyze the potential for aliasing in imagery from some current remote sensing systems, including the Landsat-7 Enhanced Thematic Mapper + (ETM+), Terra MODIS and EO-1 Advanced Land Imager (ALI). A metric is proposed and calculated for the aliasing potential of each sensor. The results show that the EO-1 ALI is the most susceptible to aliasing because of its relatively high MTF compared to that of ETM+ and MODIS. Real image examples are used to illustrate aliasing, including the use of aliasing to measure the sensor spatial response from certain types of targets.

Paper Details

Date Published: 30 July 2002
PDF: 7 pages
Proc. SPIE 4736, Visual Information Processing XI, (30 July 2002); doi: 10.1117/12.477569
Show Author Affiliations
Robert A. Schowengerdt, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 4736:
Visual Information Processing XI
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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