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Investigation Of A Fuzzy-Neural Network Application In Classification Of Soils Using Ground-Penetrating Radar Imagery, Lameck O. Odhiambo, R. S. Freeland, R. E. Yoder, J. W. Hines
Investigation Of A Fuzzy-Neural Network Application In Classification Of Soils Using Ground-Penetrating Radar Imagery, Lameck O. Odhiambo, R. S. Freeland, R. E. Yoder, J. W. Hines
Department of Biological Systems Engineering: Papers and Publications
Errors associated with visual inspection and interpretations of radargrams often inhibit the intensive surveying
of widespread areas using ground-penetrating radar (GPR). To automate the interpretive process, this article presents an
application of a fuzzy-neural network (F-NN) classifier for unsupervised clustering and classification of soil profiles using
GPR imagery. The classifier clusters and classifies soil profile strips along a traverse based on common pattern similarities
that can relate to physical features of the soil (e.g., number of horizons; depth, texture, and structure of the horizons; and
relative arrangement of the horizons, etc.). This article illustrates this classification procedure by its application …