Discriminant analysis in aerial images using fractal-based features

Carey E. Priebe; Jeffrey L. Solka; George W. Rogers

doi:10.1117/12.150588

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1 September 1993 Discriminant analysis in aerial images using fractal-based features

Carey E. Priebe, Jeffrey L. Solka, George W. Rogers

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Proceedings Volume 1962, Adaptive and Learning Systems II; (1993) https://doi.org/10.1117/12.150588
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

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Carey E. Priebe, Jeffrey L. Solka, and George W. Rogers "Discriminant analysis in aerial images using fractal-based features", Proc. SPIE 1962, Adaptive and Learning Systems II, (1 September 1993); https://doi.org/10.1117/12.150588

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