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N. R. Harvey, J. Theiler, S. P. Brumby, S. Perkins, J. J. Szymanski, J. J. Bloch, R. B. Porter, M. Galassi, and A. C. Young. Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. IEEE Transactions on Geoscience and Remote Sensing, 40(2):393--404, Feb. 2002.

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This paper is cited in the following contexts:
A Multimodal Approach to Feature Extraction for.. - Eads, Williams.. (2003)   Self-citation (Harvey Theiler Brumby Perkins Porter)   (Correct)

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N. R. Harvey, J. Theiler, S. P. Brumby, S. Perkins, J. J. Szymanski, J. J. Bloch, R. B. Porter, M. Galassi, and A. C. Young, "Comparison of genie and conventional supervised classifiers for multispectral image feature extraction," IEEE Trans. Geosci. and Remote Sens. 40, pp. 393--404, 2002.


Automated Simultaneous Multiple Feature Classification of MTI.. - Neal Harvey James (2002)   Self-citation (Harvey Theiler Brumby Perkins Szymanski Bloch Porter Galassi)   (Correct)

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N.R. Harvey, J. Theiler, S.P. Brumby, S. Perkins, J.J. Szymanski, J.J. Bloch, R.B. Porter, M. Galassi, and A.C. Young, "Comparison of GENIE and Conventional Supervised Classifiers for Multispectral Image Feature Extraction", to be published in IEEE Trans. Geoscience and Remote Sensing, 40:2, (2002).


Resampling Approach for Anomaly Detection in Multispectral.. - James Theiler And   Self-citation (Theiler)   (Correct)

....of training imagery which contain the item of interest and also marks up as negative controls a sample of pixels which do not contain the item. A machine learning system uses these examples to train a classifier to identify the target in new imagery. For one example of this approach, see Ref. [1]. This may work better for some targets than for others, but it does have the benefit of flexibility. The same system can be employed for a wide variety of target types all that changes is the analyst s markup. It can be a somewhat laborious process to mark up an adequate quantity of imagery, ....

N. R. Harvey, J. Theiler, S. P. Brumby, S. Perkins, J. J. Szymanski, J. J. Bloch, R. B. Porter, M. Galassi, and A. C. Young, "Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction," IEEE Trans. Geosci. and Remote Sens. 40, pp. 393--404, 2002.


Investigation of Automated Feature Extraction Using - Multiple Data Sources   Self-citation (Harvey Theiler Perkins Porter)   (Correct)

No context found.

N.R. Harvey, J. Theiler, S.P. Brumby, S. Perkins, J.J. Szymanski, J.J. Bloch, R.B. Porter, M. Galassi, A.C. Young, "Comparison of GENIE and Conventional Supervised Classifiers for Multispectral Image Feature Extraction", IEEE Trans. on Geoscience and Remote Sensing , Vol. 40 No. 2, pp. 393--404, Feb. 2002, .


Morphological Algorithm Design for Binary Images Using Genetic .. - Quintana, Al. (2005)   (Correct)

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N. R. Harvey, J. Theiler, S. P. Brumby, S. Perkins, J. J. Szymanski, J. J. Bloch, R. B. Porter, M. Galassi, and A. C. Young. Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. IEEE Transactions on Geoscience and Remote Sensing, 40(2):393--404, Feb. 2002.

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