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1 September 1993 Discriminant analysis in aerial images using fractal-based features
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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