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Proceedings Paper

Discriminant analysis in aerial images using fractal-based features
Author(s): Carey E. Priebe; Jeffrey L. Solka; George W. Rogers
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Paper Abstract

This paper presents a processing technique for computer assisted discriminant analysis in remote sensing applications. Local features extracted using Richardson's power law are investigated for their discriminatory power and a nonparametric classification scheme based on probability density function estimation is suggested. The capability to adjust false alarm rates and perform on-line learning is provided by this probabilistic approach. Case studies indicating the ability to discriminate between classes of objects in aerial images are presented. The technique can be used as a preprocessing aid in segmentation or in conjunction with morphological features in a more complete discrimination system.

Paper Details

Date Published: 1 September 1993
PDF: 13 pages
Proc. SPIE 1962, Adaptive and Learning Systems II, (1 September 1993); doi: 10.1117/12.150588
Show Author Affiliations
Carey E. Priebe, Naval Surface Warfare Ctr. (United States)
Jeffrey L. Solka, Naval Surface Warfare Ctr. (United States)
George W. Rogers, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 1962:
Adaptive and Learning Systems II
Firooz A. Sadjadi, Editor(s)

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