Supervised classifier based on linear statistical interclass model and maximum likelihood decision

Tetsuya Yuasa; Jaideep Kumar Mishra; Dikdik Setia Permana; Takanori Nakajima; Takao Akatsuka

doi:10.1117/12.391927

17 July 2000 Supervised classifier based on linear statistical interclass model and maximum likelihood decision

Tetsuya Yuasa, Jaideep Kumar Mishra, Dikdik Setia Permana, Takanori Nakajima, Takao Akatsuka

Proceedings Volume 4044, Hybrid Image and Signal Processing VII; (2000) https://doi.org/10.1117/12.391927
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

In this paper, we introduce a linear statistical model for an multispectral image segmentation to simultaneously describe not only interband but also interclass properties. Since the number of parameters to be estimated is reduced compared with the conventional maximum likelihood classifier based on multidimensional normal distributions, it is expected that reliable classification results will be achievable even from a restricted number of training data. We demonstrate the effectiveness of our classifier by applying it to simulated and actual satellite data.

Citation Download Citation

Tetsuya Yuasa, Jaideep Kumar Mishra, Dikdik Setia Permana, Takanori Nakajima, and Takao Akatsuka "Supervised classifier based on linear statistical interclass model and maximum likelihood decision", Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); https://doi.org/10.1117/12.391927

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