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Proceedings Paper

Identification Of Unique Objects In High Resolution Aerial Images
Author(s): Mohan M. Trivedi; Charles A. Harlow
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Paper Abstract

Accurate and reliable detection of unique objects is an important component of an image understanding system. The objects are considered to have a unique pattern and should be recognized based upon their own characteristics. An object detection approach applicable to the high resolution aerial images is developed in the paper. The methodologies incorporate features such as minimal sensitivity to the backgrounds on which objects may appear, ability to detect objects appearing in arbitrary orientations, and use of a unified set of operators to analyze various levels of details. Specifically the gray level cooccurrence matrix is used to provide the early vision operators. Results of several experiments show the promise for the proposed methods.

Paper Details

Date Published: 14 June 1984
PDF: 6 pages
Proc. SPIE 0485, Applications of Artificial Intelligence I, (14 June 1984); doi: 10.1117/12.943188
Show Author Affiliations
Mohan M. Trivedi, Louisiana State University (United States)
Charles A. Harlow, Louisiana State University (United States)

Published in SPIE Proceedings Vol. 0485:
Applications of Artificial Intelligence I
John F. Gilmore, Editor(s)

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