Other Civil and Environmental Engineering Commons^™

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 …