00000cab a22000003a 4500 UP-99796217609532851 Buklod 20231007234345.0 m |o d | ta 101109s xx d | ||r ||||| || DENGII eng Gader, P.D. Recognition technology for the detection of buried land mines. pp. 31-43 As described by Zadeh, recognition technology refers to systems that incorporate new sensors, novel signal processing, and soft computing. In this paper, we discuss these principles applied to the problem of land mine detection. We describe a complex recognition system that is evolving from basic research into a fielded system. Some components of this system have been field tested with excellent results, whereas other components have achieved such results in the laboratory. Fuzzy set-based information fusion algorithms are central to the excellent results obtained. Multiple-detection algorithms are applied to signals acquired from an innovative ground penetrating radar that produces volumetric sub-surface imagery. The outputs of the detection algorithms are combined using the fuzzy logic and Sugeno and Choquet fuzzy integrals to produce overall detection scores. Experimental results are provided on training data and on completely blind test data collected in the field and scored by the US Army Buried land mine detection. Fuzzy integrals. Fuzzy logic. Fuzzy set theory. Ground penetrating radar. Information fusion. Mathematical morphology. Neural networks. Object recognition. IEEE Transactions on fuzzy systems 9, 1 (2001). FO UPD DENG-II Article