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Proceedings Paper

Refocused Recognition Of Aerial Photographs At Multiple Resolution
Author(s): Hatem Nasr; Bir Bhanu; Sungkee Lee
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Paper Abstract

While performing the photo interpretation task using very high resolution images, the resolution of the image is often reduced to make its processing feasible. However, in low resolution images, it becomes quite difficult to segment and locate targets of interest such as aircraft, which are relatively small. Further, in recognizing aircraft, it is generally assumed that aircraft are already located. The emphasis is placed on model matching for recognizing isolated aircraft. However, locating potential areas in the images, where aircraft may be found, is non-trivial since it requires an accurate labeling of an image. We have developed a Knowledge-Based Photo Interpretation (KEPI) system that analyzes high resolution images. This system locates aircraft by first finding large structures in low resolution images and focusing attention on areas such as tarmacs, runways, parking areas, that have high probability of containing aircraft. Higher resolution images of the regions that are the focus of attention are used in subsequent analysis. The system makes extensive use of contextual knowledge such as spatial and locational information about airport scenes. We show results using high resolution TV data.

Paper Details

Date Published: 30 August 1989
PDF: 9 pages
Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); doi: 10.1117/12.960439
Show Author Affiliations
Hatem Nasr, Honeywell- Systems and Research Center (United States)
Bir Bhanu, Honeywell- Systems and Research Center (United States)
Sungkee Lee, Honeywell- Systems and Research Center (United States)

Published in SPIE Proceedings Vol. 1098:
Aerospace Pattern Recognition
Marshall R. Weathersby, Editor(s)

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