Detection and tracking of sea-surface targets in infrared and visual band videos using the bag-of-features technique with scale-invariant feature transform T Can, AO Karalı, T Aytaç Applied optics 50 (33), 6302-6312, 2011 | 31 | 2011 |
Adaptive image enhancement based on clustering of wavelet coefficients for infrared sea surveillance systems AO Karalı, OE Okman, T Aytaç Infrared Physics & Technology 54 (5), 382-394, 2011 | 30 | 2011 |
Simultaneous extraction of geometry and surface properties of targets using simple infrared sensors T Aytac, B Barshan Optical Engineering 43 (10), 2437-2447, 2004 | 27 | 2004 |
Differentiation and localization of targets using infrared sensors T Aytaç, B Barshan Optics communications 210 (1-2), 25-35, 2002 | 26 | 2002 |
Position-invariant surface recognition and localization using infrared sensors B Barshan, T Aytac Optical Engineering 42 (12), 3589-3594, 2003 | 25 | 2003 |
Rule-based target differentiation and position estimation based on infrared intensity measurements T Aytac, B Barshan Optical Engineering 42 (6), 1766-1771, 2003 | 23 | 2003 |
Adaptive enhancement of sea-surface targets in infrared images based on local frequency cues AO Karalı, OE Okman, T Aytaç JOSA A 27 (3), 509-517, 2010 | 17 | 2010 |
Target differentiation with simple infrared sensors using statistical pattern recognition techniques B Barshan, T Aytaç, Ç Yüzbaşıoǧlu Pattern recognition 40 (10), 2607-2620, 2007 | 17 | 2007 |
Surface differentiation by parametric modeling of infrared intensity scans T Aytac, B Barshan Optical Engineering 44 (6), 067202-067202-9, 2005 | 17 | 2005 |
Classifier-based offline feature selection and evaluation for visual tracking of sea-surface and aerial targets S Cakır, T Aytac, A Yıldırım, ÖN Gerek Optical Engineering 50 (10), 107205-107205-13, 2011 | 16 | 2011 |
A comparison of different infrared image enhancement techniques for sea surface targets AO Karali, T Aytaç 2009 IEEE 17th Signal Processing and Communications Applications Conference …, 2009 | 15 | 2009 |
Differentiation and localization of target primitives using infrared sensors T Aytaç, B Barshan IEEE/RSJ International Conference on Intelligent Robots and Systems 1, 105-110, 2002 | 15 | 2002 |
Image reconstruction for single detector rosette scanning systems based on compressive sensing theory H Uzeler, S Cakir, T Aytaç Optical Engineering 55 (2), 023108-023108, 2016 | 12 | 2016 |
Multiscale contrast direction adaptive image fusion technique for MWIR-LWIR image pairs and LWIR multifocus infrared images AO Karali, S Cakir, T Aytaç Applied Optics 54 (13), 4172-4179, 2015 | 10 | 2015 |
Salient point region covariance descriptor for target tracking S Cakir, T Aytaç, A Yildirim, S Beheshti, ÖN Gerek, AE Cetin Optical Engineering 52 (2), 027207-027207, 2013 | 9 | 2013 |
Compressive sensing applications for single detector rosette scanning infrared seekers H Uzeler, S Cakir, T Aytaç Electro-Optical and Infrared Systems: Technology and Applications XII; and …, 2015 | 8 | 2015 |
Image generation for single detector infrared seekers via compressive sensing H Uzeler, S Cakir, T Aytaç Electro-Optical and Infrared Systems: Technology and Applications X 8896 …, 2013 | 6 | 2013 |
Development of a target tracking algorithm for imaging infrared seekers T Aytac, O Bekmen 2008 IEEE 16th Signal Processing, Communication and Applications Conference, 1-4, 2008 | 5 | 2008 |
Adaptive enhancement of infrared images containing sea surface targets AO Karalı, OE Okman, T Aytaç 2010 IEEE 18th Signal Processing and Communications Applications Conference …, 2010 | 4 | 2010 |
Recognizing targets from infrared intensity scan patterns using artificial neural networks T Aytaç, B Barshan Optical Engineering 48 (1), 017203-017203-13, 2009 | 4 | 2009 |