Articles in Refereed Journals

[1] H. Üzeler, S. Çakır, T. Aytaç.
Image reconstruction for single detector rosette scanning systems based on compressive sensing theory.
Optical Engineering, 55 (2), 023108:1-11,  2016.

[2] A. O. Karalı, S. Çakır, T. Aytaç.
Multiscale contrast direction adaptive image fusion technique for MWIR-LWIR image pairs and LWIR multi-focus infrared images.
Applied Optics, 54(13):4172-4179, 2015.

[3] S. Çakır, H. Üzeler, T. Aytaç.
Sampling strategy for the sparse recovery of infrared images.
Applied Optics, 52(28):6858-6867, 2013.

[4] S. Çakır, T. Aytaç, A. Yıldırım, S. Beheshti, Ö. N. Gerek, A. E. Çetin.
Salient point region covariance descriptors for target tracking.
Optical Engineering, 52:027207:1-13, 2013.

[5] T. Can, A. O. Karalı, T. Aytaç,
Detection and tracking of sea-surface targets in infrared and visual band videos using the bag-of-features technique with scale-invariant feature transform.
Applied Optics, 50(33):6302-6312, 2011.

[6] S. Çakır, T. Aytaç, A. Yıldırım, Ö. N. Gerek,
Classifier based offline feature selection and evaluation for visual tracking of sea-surface and aerial targets.
Optical Engineering, 50(10): 107205:1-13, 2011.

[7] A. O. Karalı, O. E. Okman, T. Aytaç.
Adaptive image enhancement based on clustering of wavelet coefficients for infrared sea surveillance systems.
Infrared Physics & Technology, 54(5): 382-394, 2011.

[8] A. O. Karalı, O. E. Okman, T. Aytaç.
Adaptive enhancement of sea-surface targets in infrared images based on local frequency cues.
Journal of the Optical Society of America A: Optics, Image Science & Vision, 27(3): 509-517, 2010.

[9] T. Aytaç, B. Barshan,
Recognizing targets from infrared intensity scan patterns using artificial neural networks.
Optical Engineering, 48(1): 1-13, 2009.

[10] B. Barshan, T. Aytaç, Ç. Yüzbaşıoğlu.
Target differentiation with simple infrared sensors using statistical pattern recognition techniques.
Pattern Recognition, 40(10): 2607-2620, 2007.

[11] T. Aytaç, B. Barshan.
Surface differentiation by parametric modeling of infrared intensity scans.
Optical Engineering, 44(6):1-9, 2005.

[12] T. Aytaç, B. Barshan.
Simultaneous extraction of geometry and surface properties of targets using simple infrared sensors.
Optical Engineering, 43(10): 2437-2447, 2004.

[13] B. Barshan, T. Aytaç.
Position-invariant surface recognition and localization using infrared sensors.
Optical Engineering, 42(12):3589-3594, 2003.

[14] T. Aytaç, B. Barshan.
Rule-based target differentiation and position estimation based on infrared intensity measurements.
Optical Engineering, 42(6):1766-1771, 2003.

[15] T. Aytaç, B. Barshan.
Differentiation and localization of targets using infrared sensors.
Optics Communications, 210(1-2):25-35, 2002.

Refereed Conference Papers in English

[1] H. Üzeler, S. Çakır, T. Aytaç.
Compressive sensing applications for single detector rosetta scanning infrared seekers..
Proceedings of the SPIE Security + Defence Conference on Electro-Optical and Infrared Systems: Technology and Applications XI, , Sep. 2015, Toulouse, France.

[2] A. O. Karalı, S. Çakır, T. Aytaç.
A multiscale contrast direction adaptation approach for the fusion of multispectral and multifocus infrared images..
Proceedings of the SPIE Security + Defence Conference on Electro-Optical and Infrared Systems: Technology and Applications XI, Sep. 2015, Toulouse, France.

[3] H. Üzeler, S. Çakır, T. Aytaç.
Image generation for single detector infrared seekers via compressive sensing.
Proceedings of the SPIE Security + Defence Conference on Electro-Optical and Infrared Systems: Technology and Applications X, 8896:0S1-0S6, Sep. 2013, Dresden, Germany.

[4] S. Çakır, H. Üzeler, T. Aytaç.
A novel sampling method for the sparse recovery of infrared sea surveillance images.
Proceedings of the SPIE Security + Defence Conference on Electro-Optical and Infrared Systems: Technology and Applications X, 8896:S1-S6, Sep. 2013, Dresden, Germany.

[5] T. Aytaç, B. Barshan.
Target classification with simple infrared sensors using artificial neural networks.
Proceedings of the IEEE 23rd International Symposium on Computer and Information Sciences, pp. 1-4, Oct. 2008, Istanbul, Turkey.

[6] T. Aytaç, Ç. Yüzbaşıoğlu, B. Barshan.
Statistical pattern recognition techniques for target differentiation using infrared sensor.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 468-473, Sep. 2006, Heidelberg, Germany.

[7] T. Aytaç, B. Barshan.
Extraction of target features using infrared intensity signals.
Proceedings of the 13th European Signal Processing Conference, CD-ROM, Sep. 2005, Antalya, Turkey.

[8] T. Aytaç, B. Barshan.
Surface differentiation and localization by parametric modeling of infrared intensity scans.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2294-2299, Aug. 2005, Edmonton, Alberta, Canada.

[9] T. Aytaç, B. Barshan.
Surface recognition by parametric modeling of infrared intensity signals.
Proceedings of the 12th European Signal Processing Conference, pp. 1107-1110, Sep. 2004, Vienna, Austria.

[10] T. Aytaç, B. Barshan.
Position-invariant surface recognition and localization with simple infrared sensors for robotics applications. Proceedings of the FIRA Robot World Congress, CD-ROM, Oct. 2003, Vienna, Austria.

[11] T. Aytaç, B. Barshan.
Differentiation and localization of target primitives using infrared sensors.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 105-110, Sep./Oct. 2002, Lausanne, Switzerland.

[12] T. Aytaç, B. Barshan.
Rule-based target differentiation and position estimation for indoor mobile robotics applications.
Proceedings of the 6th International Conference on Mechatronic Design and Modeling, pp. 57-68, Sep. 2002, Cappadocia, Nevşehir, Turkey.

[13] T. Aytaç, B. Barshan,
Target differentiation and localization using infrared sensors.
Proceedings of the SPIE 19th Congress of the International Commission for Optics: Optics for the Quality of Life, G. C. Righnini, A. Consortini, eds., 4829: 889-890, pub. date: November 2003, conf. date: Aug. 2002, Florence, Italy.

Refereed Conference Papers in Turkish

[1] A. O. Karalı, T. Aytaç,
Kızılötesi imgeler için dalgacık katsayılarına dayalı dinamik erim sıkıştırma tekniği. (A Wavelet coefficients based dynamic range compression technique for infrared images.)
Proceedings of the 21th IEEE Conference on Signal Processing, Communications and Applications, Apr. 2013, Kyrenia, Turkish Republic of Northern Cyprus.

[2] S. Çakır, A. O. Karalı, T. Aytaç,
Farklı bant imge dizileri üzerinde koşan hedef izleyicilerinin karar tümleştirilmesi üzerine bir yöntem. (A method for decision fusion of target trackers running on different band image sequences.)
Proceedings of the 20th IEEE Conference on Signal Processing, Communications and Applications, Apr. 2012, Fethiye, Muğla, Turkey.

[3] S. Çakır, T. Aytaç, A. Yıldırım, S. Beheshti, Ö. N. Gerek, A. E. Çetin,
Hedef izleme için önemli noktalar üzerinden hesaplanan bölgesel ortak değişinti betimleyicileri. (Region covariance descriptors calculated over salient points for target tracking.)
Proceedings of the 20th IEEE Conference on Signal Processing, Communications and Applications, Apr. 2012, Fethiye, Muğla, Turkey.

[4] A. O. Karalı, S. Çakır, O. E. Okman, T. Aytaç,
İstatistiksel yeğinlik tümleştirme ve uyarlamalı bulanık maskeleme kullanarak imge tümleştirme. (Image fusion using statistical intensity fusion and adaptive unsharp masking.)
Proceedings of the 20th IEEE Conference on Signal Processing, Communications and Applications, Apr. 2012, Fethiye, Muğla, Turkey.

[5] S. Çakır, T. Aytaç, A. Yıldırım, Ö. N. Gerek,
Görünür bant videolarında suüstu platformların özdeğişinti tabanlı izleyici kullanılarak izlenmesi ve öznitelik seçimi. (Tracking of sea-above platforms in visual band videos using covariance based tracker and feature selection.)
Proceedings of the 19th IEEE Conference on Signal Processing, Communications and Applications, pp. 34-37, Apr. 2011, Antalya, Turkey.

[6] A. O. Karalı, O. E. Okman, T. Aytaç,
“Kızılötesi imgelerde suüstü platformlarının dalgacık katsayılarının topaklanmasına dayalı uyarlamalı pekiştirilmesi. (Adaptive enhancement of platforms above sea-level in infrared images based on clustering of wavelet coefficients.)
Proceedings of the 19th IEEE Conference on Signal Processing, Communications and Applications, pp. 849-852, Apr. 2011, Antalya, Turkey.

[7] A. O. Karalı, T. Aytaç, A. Yıldırım, Ö. Nezih Gerek,
Çevresel aykırılığa dayalı bir hedef tespit algoritması. (A target detection algorithm based on peripheral anomaly.)
Proceedings of the 19th IEEE Conference on Signal Processing, Communications and Applications, pp. 138-141, Apr. 2011, Antalya, Turkey.

[8] T. Can, A. O. Karalı, T. Aytaç,
“Suüstu platformlarının kızılötesi ve görünür bant videolarında ölçek değişimsiz öznitelik dönüşümü ile grup öznitelikleri tekniği kullanılarak tespiti ve izlenmesi,” (“Detection and tracking of platforms above sea-level in infrared and visual band Images using bag-of-features technique with scale invariant feature transform,”)
Proceedings of the 19th IEEE Conference on Signal Processing, Communications and Applications, pp. 134-137, Apr. 2011, Antalya, Turkey.

[9] A. O. Karalı, T. Aytaç,
“Kızılötesi imgelerde deniz yüzeyi hedeflerinin ölçekten bağımsız öznitelik dönüşümü kullanılarak izlenmesi,” (“Tracking of sea-surface targets in infrared images using scale-invariant feature transform“)
Proceedings of the 18th IEEE Conference on Signal Processing, Communications and Applications, pp. 149-152, Apr. 2010, Diyarbakır.

[10] A. O. Karalı, O. E. Okman, T. Aytaç,
Deniz yüzeyi hedefleri içeren kızılötesi imgelerin uyarlamalı pekiştirilmesi. (Adaptive enhancement of infrared images containing sea-surface targets.)
Proceedings of the 18th IEEE Conference on Signal Processing, Communications and Applications, pp. 605-608, Apr. 2010, Diyarbakır.

[11] A. O. Karalı, T. Aytaç,
Deniz yüzeyi hedefleri için farklı kızılötesi imge pekiştirme tekniklerinin karşılaştırılması. (A comparison of different infrared image enhancement techniques for sea surface targets.)
Proceedings of the 17th IEEE Conference on Signal Processing, Communications and Applications, in Turkish, pp. 765-768, Apr. 2009, Side, Antalya, Turkey.

[12] T. Aytaç, O. Bekmen,
Görüntülemeli kızılötesi arayıcılar için bir hedef izleme algoritması geliştirilmesi. (Development of a target tracking algorithm for imaging infrared seekers.)
Proceedings of the 16th IEEE Conference on Signal Processing, Communications and Applications, pp. 1-4, Apr. 2008, Didim, Aydin, Turkey.

[13] T. Aytaç, B. Barshan,
Kızılberisi algılayıcılarla yapay sinir ağlarına dayalı hedef ayırdetme. (Neural network based target differentiation with infrared sensors.)
Proceedings of the Automatic Control National Meeting, pp. 202-207, Nov. 2006, Ankara, Turkey.

[14] T. Aytaç, Ç. Yüzbaşıoğlu, B. Barshan,
İstatistiksel örüntü tanıma teknikleri kullanarak kızılberisi algılayıcılarla hedef ayırdetme. (Differentiation with infrared sensors using statistical pattern recognition techniques.)
Proceedings of the 14th IEEE Conference on Signal Processing, Communications and Applications, in Turkish, pp. 1-4, Apr. 2006, Antalya, Turkey.

[15] T. Aytaç, B. Barshan,
Kızılberisi yeğinlik sinyalleri kullanılarak hedeflerin geometrik ve yüzey özelliklerinin eşzamanlı olarak çıkarımı. (Simultaneous extraction of geometry and surface properties of targets using infrared intensity signals.)
Proceedings of the 13th IEEE Conference on Signal Processing, Communications and Applications, pp. 522-525 May 2005, Kayseri, Turkey.

[16] T. Aytaç, B. Barshan,
Kızılberisi algılayıcılardan elde edilen sinyallerin parametrik modellenmesiyle yüzey ayırdetme ve konum kestirimi. (Surface differentiation and position estimation by parametric modeling of signals obtained with infrared sensors.) Proceedings of the 12th IEEE Conference on Signal Processing, Communications and Applications, pp. 253-256, Apr. 2004, Kuşadası, Aydın, Turkey.

[17] T. Aytaç and B. Barshan,
“Kızılötesi yeğinlik ölçümleriyle kurala dayalı hedef ayırdetme ve konum kestirimi,” (“Rule-based target differentiation and position estimation with infrared intensity measurements”)
Proceedings of the 11th IEEE Conference on Signal Processing, Communications and Applications, pp. 464-467, June 2003, İstanbul, Turkey.

[18] T. Aytaç, B. Barshan,
Kızılötesi algılayıcılarla pozisyondan bağımsız yüzey tanıma ve konumlandırma. (Position-invariant surface recognition and localization using infrared sensors.)
Proceedings of the Automatic Control National Meeting, pp. 115-124, Sep. 2002, Ankara, Turkey.

[19] T. Aytaç, B. Barshan.
Kızılötesi algılayıcılardan elde edilen sinyallerle hedef ayırdetme ve konum kestirimi. (Target differentiation and position estimation with signals obtained from infrared sensors.)
Proceedings of the 10th IEEE Conference on Signal Processing, Communications and Applications, vol. 2, pp. 955-960, June 2002, Pamukkale, Denizli, Turkey.

Other Referred Publications

[1] H. Üzeler, S. Çakır, T. Aytaç.
Compressive image reconstruction for single detector rosette scanning infrared seekers.
NATO SET Specialist Meeting on Compressive Sensing for Radar/SAR and EO/IR Imaging, 12-13 May 2014, Tallinn, Estonia.

[2] S. Çakır, H. Üzeler, T. Aytaç.
An iterative sampling framework for the sparse recovery of infrared maritime images.
NATO SET Specialist Meeting on Compressive Sensing for Radar/SAR and EO/IR Imaging, 12-13 May 2014, Tallinn, Estonia

Published Conference Paper Abstracts

[1] T. Aytaç, B. Barshan,
Position-invariant surface recognition and localization with simple infrared sensors for robotics applications.
Final Program and Abstract Book of FIRA Robot World Congress, p. 18, Oct. 2003, Vienna, Austria.

[2] T. Aytaç, B. Barshan.
Surface recognition by parametric modeling of infrared intensity signals.
Abstract Book of XII. European Signal Processing Conference, p. 93, Sep. 2004, Vienna, Austria.

PhD Dissertation

A comparative analysis of different approaches to target differentiation and localization usinginfrared sensors. Dec. 2006.
Supervisor: Prof. Dr. Billur Barshan

MSc Thesis

Differentiation and localization using infrared sensors. Aug. 2002.
Supervisor: Prof. Dr. Billur Barshan