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Proceedings Paper

AERICOMP: an aerial photo comparison system
Author(s): Lynne L. Grewe; Neil Rowe; Wolfgang Baer
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Paper Abstract

This paper describes a system, which compares aerial photographs of the same terrain taken at different times and tires to recognize straight-edged cultural features that have changed. This work is intended to be highly robust, handling very different lighting conditions, weather, times of year, camera, and film between the images to be compared. Our system AERICOMP is designed to facilitate battlefield terrain modeling by permitting automatic updates form new images. AERICOMP does coarse registration, image correction, feature detection, automatic refined registration, feature difference detection and reduction, feature difference presentation and operator acceptance, difference identification, and database update. It emphasizes line segments for comparisons because differences in them are more robust for photometric changes between terrain images. In addition, line segment comparisons require less computation than pixel comparisons and are more compatible with identification tasks. For our intended application of battlefield terrain modeling, detecting changes in man-made structures is of much greater importance than changes in vegetation, and line segments are the key to identifying such structures. We show results involving change analysis between color IR and black/white USGS photographs of the same area six years apart. Even a mostly automatic system benefits form user interacting at key points. AERICOMP exploits user judgements at the beginning and end of its processing to assist in coarse registration and to approve the significance of any differences found. AERICOMP is currently under development at the Naval Postgraduate School, and is supported by the TENCAPS project under the US Navy.

Paper Details

Date Published: 4 August 2000
PDF: 8 pages
Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); doi: 10.1117/12.395063
Show Author Affiliations
Lynne L. Grewe, California State Univ./Monterey Bay (United States)
Neil Rowe, Naval Postgraduate School (United States)
Wolfgang Baer, Naval Postgraduate School (United States)


Published in SPIE Proceedings Vol. 4052:
Signal Processing, Sensor Fusion, and Target Recognition IX
Ivan Kadar, Editor(s)

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