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Ali K. Hocaoglu, Ph.D.

Affiliations: 
2000 University of Missouri - Columbia, Columbia, MO, United States 
Area:
Electronics and Electrical Engineering
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"Ali Hocaoglu"
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Paul Gader grad student 2000 University of Missouri - Columbia
 (Choquet integral-based morphological operators with applications to object detection and information fusion.)

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Gader P, Grandhi R, Hocaoglu A, et al. (2004) Landmine detection from acoustic/seismic signals using ordered weight‐averaging operators The Journal of the Acoustical Society of America. 115: 2415-2415
Wang T, Keller JM, Gader PD, et al. (2004) Phase signatures in acoustic-seismic landmine detection Proceedings of Spie - the International Society For Optical Engineering. 5415: 70-79
Gader PD, Wilson JN, Wang T, et al. (2003) Fusion of acoustic/seismic and GPR detection algorithms Proceedings of Spie - the International Society For Optical Engineering. 5089: 1307-1315
Wang T, Keller JM, Gader PD, et al. (2003) Model-based landmine detection algorithms for acoustic/seismic data Proceedings of Spie - the International Society For Optical Engineering. 5089: 558-568
Hocaoglu AK, Gader PD. (2003) Domain learning using Choquet integral-based morphological shared weight neural networks Image and Vision Computing. 21: 663-673
Keller JM, Cheng Z, Gader PD, et al. (2002) Fourier descriptor features for acoustic landmine detection Proceedings of Spie - the International Society For Optical Engineering. 4742: 673-684
Hocaoglu AK, Gader PD. (2002) Continuous processing of acoustic data for landmine detection Proceedings of Spie - the International Society For Optical Engineering. 4742: 654-664
Hocaoglu AK, Gader PD. (1999) Choquet integral-based morphological operators Electronic Imaging. 3646: 46-55
Hocaoglu AK, Gader P. (1998) Choquet integral representations of nonlinear filters with applications to LADAR image processing Proceedings of Spie - the International Society For Optical Engineering. 3304: 66-71
Blanchard AJ, Gader P, Correa AC, et al. (1998) Use of spline based wavelet filtering to improve classification processing of SAR imagery International Geoscience and Remote Sensing Symposium (Igarss). 4: 1757-1759
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