Genetics and Genomics Commons^™

Application Of Fuzzy-Neural Network In Classification Of Soils Using Ground-Penetrating Radar Imagery, Lameck O. Odhiambo, Robert S. Freeland, Ronald E. Yoder, J. Wesley Hines

Department of Animal Science: Faculty Publications

Errors associated with visual inspection and interpretation of radargrams often inhibits the intensive surveying of widespread areas using ground-penetrating radar (GPR). To automate the interpretive process, this paper presents an application of a fuzzy-neural network (F-NN) classifier for unsupervised clustering and classification of soil profile using GPR imagery. The classifier clusters and classifies soil profiles 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 paper illustrates this classification procedure by its application …