RESEARCH
Publications
Publications of Dr. S. Esen Yüksel
| Type | International publication | National publication | Total |
| Journal paper | 13 | 1 | 14 |
| Conference paper | 40 | 13 | 53 |
| Book chapter | 1 | 1 | |
| Book | 1 | 1 | |
| Other | 1 | 1 | |
| Total: | 55 | 15 | 70 |
| # | Title | Publication | Author(s) | Type | Year |
|---|---|---|---|---|---|
| 1 | Deep Learning for Medicine and Remote Sensing: A Brief Review | International Journal of Environment and Geoinformatics | M. E. Yuksel, S. Küçük, S. E. Yüksel, E. Erdem | Journal paper | December 2020 |
| 2 | Utility Metric for Subset Dictionary Selection in Semi-Blind Hyperspectral Unmixing | IEEE Signal Processing and Communications Applications Conference (SIU) | S. Küçük, S. E. Yüksel | Conference paper | October 2020 |
| 3 | Unmixing of Hyperspectral Data Using Spectral Libraries | International Journal of Environment and Geoinformatics | S. Küçük, S. E. Yüksel | Journal paper | April 2020 |
| 4 | Transfer Learning on GPR Data for IED Detection in Various Environments | SPIE Security + Defence International Symposium | S. E. Yüksel, M. Oturak, K. G. Toker | Conference paper | September 2019 |
| 5 | Deep canonical correlation analysis for hyperspectral image classification | SPIE Remote Sensing | K. G. Toker, S. E. Yüksel | Conference paper | September 2019 |
| 6 | A Standalone Open-Source System for Optical Inspection of Printed Circuit Boards | IEEE SPA 2019 | F. Ülger, S. E. Yüksel | Conference paper | September 2019 |
| 7 | Spektral Kütüphaneler Kullanarak Hiperspektral Verilerin Seyrek Ayrıştırılması | 10. Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği Teknik Sempozyumu (TUFUAB) | S. Küçük, S. E. Yüksel | Conference paper | April 2019 |
| 8 | DEEP LEARNING IN REMOTE SENSING | 10. Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği (TUFUAB) Teknik Sempozyumu (TUFUAB) | M. E. Yüksel, M. E. Erdem, S. E. Yüksel | Conference paper | April 2019 |
| 9 | ACCESSIBLE AND AUTOMATIZED RECYCLING SYSTEM USING COMPUTER VISION TECHNIQUES | 10. Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği (TUFUAB) Teknik Sempozyumu (TUFUAB) | B. Akdemir, S. E. Yüksel | Conference paper | April 2019 |
| 10 | Transfer and multitask learning using convolutional neural networks for buried wire detection from ground penetrating radar data | SPIE Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV Conference | E. Aydın, S. E. Yüksel | Conference paper | April 2019 |
| 11 | Fully-Connected Semantic Segmentation of Hyperspectral and LiDAR Data | IET Computer Vision | H. Aytaylan, S. E. Yüksel | Journal paper | April 2019 |
| 12 | Image Fusion for Hyperspectral Image Super-Resolution | 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (Whispers) | H. Irmak, G. B. Akar, S. E. Yüksel | Conference paper | September 2018 |
| 13 | An Investigation of the Effect of Neighboring Objects to Shadow Areas on Real Data based on the Physical Radiance Model | Journal of the Faculty of Engineering and Architecture of Gazi University | E. Oduncu, S. E. Yüksel | Journal paper | September 2018 |
| 14 | A MAP-Based Approach for Hyperspectral Imagery Super-resolution | IEEE Transactions on Image Processing | H. Irmak, G. B. Akar, S. E. Yüksel | Journal paper | June 2018 |
| 15 | Transfer and Multitask Learning Method for Buried Wire Detection via GPR | IEEE Signal Processing and Communications Applications Conference (SIU) | E. Aydın, S. E. Yüksel | Conference paper | May 2018 |
| 16 | Fusion of hyperspectral image and LiDAR data and classification using deep convolutional neural networks | IEEE Signal Processing and Communications Applications Conference (SIU) | M. Salman, S. E. Yüksel | Conference paper | May 2018 |
| 17 | A Greedy Algorithm for Sparse Unmixing | SİU | K. G. Toker, S. E. Yüksel | Conference paper | May 2018 |
| 18 | The Effect of the LiDAR Sensor on the Success of the Shadow Detection from Hyperspectral Data | Pamukkale Üniversitesi Muhendislik Bilimleri Dergisi | S. E. Yüksel, M. Boyacı | Journal paper | May 2018 |
| 19 | Buried target detection with ground penetrating radar using deep learning method | SIU 2017 | E. Aydin, S. E. Yüksel | Conference paper | May 2017 |
| 20 | Fusion based resolution enhancement in hyperspectral images | SIU 2017 | H. Irmak, G. B. Akar, S. E. Yüksel | Conference paper | May 2017 |
| 21 | LiDAR aided hyperspectral images segmentation using schroedinger eigenmaps | SIU 2017 | O. Torun, S. E. Yüksel | Conference paper | May 2017 |
| 22 | Hyperspectral Unmixing via Convolutional Neural Network | International Workshop on Mathematical Methods in Engineering | K. G. Toker, S. E. Yüksel | Conference paper | April 2017 |
| 23 | Fusion of Target Detection Algorithms in Hyperspectral Images | International Journal of Intelligent Systems and Applications in Engineering | S. E. Yüksel, A. Karakaya | Journal paper | December 2016 |
| 24 | SPICEE: An Extension to SPICE for Sparse Endmember Estimation in Hyperspectral Imagery | IEEE Geoscience and Remote Sensing Letters | S. E. Yüksel, S. Küçük, P. Gader | Journal paper | December 2016 |
| 25 | Using k-way Normalized Cuts to Integrate LiDAR and Hyperspectral Imagery for Segmentation | Hyperspectral Imaging and Sounding of the Environment (HISE) | O. Torun, S. E. Yüksel | Conference paper | November 2016 |
| 26 | Validation of Registration for Renal Dynamic Contrast Enhanced MRI Imaging | International Journal of Intelligent Systems and Applications in Engineering | S. E. Yüksel | Journal paper | August 2016 |
| 27 | Context-based Classification Using a Mixture of Hidden Markov Models with Applications in Landmine Detection | IET Computer Vision | S. E. Yüksel, P. Gader | Journal paper | August 2016 |
| 28 | SEMANTIC SEGMENTATION OF HYPERSPECTRAL IMAGES WITH THE FUSION OF LIDAR DATA | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | H. Aytaylan, S. E. Yüksel | Conference paper | July 2016 |
| 29 | SUPER-RESOLUTION RECONSTRUCTION OF HYPERSPECTRAL IMAGES VIA AN IMPROVED MAP-BASED APPROACH | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | H. Irmak, G. B. Akar, S. E. Yüksel | Conference paper | July 2016 |
| 30 | Hyperspectral image classification via Support Vector Data Description (Destek Vektör Veri Tanımı ile Hiperspektral Görüntü Sınıflandırma) | IEEE Signal Processing and Communications Applications Conference (SIU) | H. E. Mutlu, S. E. Yüksel | Conference paper | May 2016 |
| 31 | Hyperspectral imagery superresolution (Hiperspektral Görüntülerde Süperçözünürlük) | IEEE Signal Processing and Communications Applications Conference (SIU) | H. Irmak, G. B. Akar, S. E. Yüksel | Conference paper | May 2016 |
| 32 | Target detection in hyperspectral images (Hiperspektral Görüntülerde Hedef Tespiti ) | IEEE 23rd Signal Processing and Communications Applications Conference (SIU) | A. Karakaya, S. E. Yüksel | Conference paper | May 2016 |
| 33 | Analyzing the correlation of sky-view factor and shadow regions in hyperspectral data (Hiperspektral Verilerdeki Gölge Alanların Gökyüzü Açıklığı ile İlintisinin İncelenmesi) | IEEE Signal Processing and Communications Applications Conference (SIU) | E. Oduncu, S. E. Yüksel | Conference paper | May 2016 |
| 34 | Hyperspectral data classification using deep convolutional neural networks (Hiperspektral Verilerin Derin Konvolüsyonel Sinir Ağlarıyla Sınıflandırılması) | IEEE Signal Processing and Communications Applications Conference (SIU) | M. Salman, S. E. Yüksel | Conference paper | May 2016 |
| 35 | Hyperspectral image segmentation using normalized cuts (Düzgelenmiş Kesit Kullanarak Hiperspektral Görüntülerin Bölütlenmesi) | IEEE Signal Processing and Communications Applications Conference (SIU) | O. Torun, S. E. Yüksel | Conference paper | May 2016 |
| 36 | Fusion of KLMS and Blob Based Pre-Screener for Buried Landmine Detection Using Ground Penetrating Radar | SPIE Defense and Security: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI | B. Baydar, G. B. Akar, S. E. Yüksel, S. Ozturk | Conference paper | April 2016 |
| 37 | Hacettepe Üniversitesi'nde Uzaktan Algılama Çalışmaları | Elektrik Mühendisliği | S. E. Yüksel, S. Küçük, E. Gunes, M. Boyaci, K. G. Toker | Other | July 2015 |
| 38 | Multiple-Instance Hidden Markov Models With Applications to Landmine Detection | IEEE Transactions on Geoscience and Remote Sensing | S. E. Yüksel, J. Bolton, P. Gader | Journal paper | June 2015 |
| 39 | Comparison of Rx-Based Anomaly Detectors on Synthetic and Real Hyperspectral Data | IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) | S. Küçük, S. E. Yüksel | Conference paper | June 2015 |
| 40 | A MAP-BASED APPROACH TO RESOLUTION ENHANCEMENT OF HYPERSPECTRAL IMAGES | IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) | H. Irmak, G. B. Akar, S. E. Yüksel | Conference paper | June 2015 |
| 41 | Accelerating Classification Time in Hyperspectral Images (Hiperspektral Görüntülerde Sınıflandırma Hızının İyileştirilmesi) | IEEE 23rd Signal Processing and Communications Applications Conference (SIU) | K. G. Toker, S. E. Yüksel | Conference paper | May 2015 |
| 42 | Aircraft Recognition from Satellite Images | IEEE Signal Processing and Communications Applications Conference (SIU) | M. Oturak, S. E. Yüksel | Conference paper | May 2015 |
| 43 | LWIR and MWIR images dimension reduction and anomaly detection with locally linear embedding (LWIR ve MWIR Görüntülerde Yerel Doğrusal Gömme ile Boyut Azaltma ve Anomali Tespiti) | IEEE Signal Processing and Communications Applications Conference (SIU) | A. S. Aydogdu, S. E. Yüksel, L. Ozparlak, P. U. Hatipoglu | Conference paper | May 2015 |
| 44 | Locating the shadow regions in LIDAR data: results on the SHARE 2012 dataset | SPIE Defense and Security: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI | M. Boyaci, S. E. Yüksel | Conference paper | April 2015 |
| 45 | Effect of endmember clustering on proportion estimation: results on the Share 2012 dataset | SPIE Defense and Security: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI | E. Gunes, S. E. Yüksel | Conference paper | April 2015 |
| 46 | Fusion of forward-looking infrared camera and down-looking ground penetrating radar for buried target detection | SPIE Defense and Security: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX | S. E. Yüksel, G. B. Akar, S. Öztürk | Conference paper | April 2015 |
| 47 | Hiperspektral Görüntülerde Son Eleman Tespiti | 7. Savunma Teknolojileri Kongresi (SAVTEK) | S. Küçük, S. E. Yüksel | Conference paper | June 2014 |
| 48 | Endmember Detection using Enhanced Constrained Optimization in Hyperspectral Imaging (Hiperspektral Görüntülerde Son Elemanların Geliştirilmiş Kısıtlı Optimizasyonla Bulunması) | IEEE 22. Sinyal İşleme ve İletişim Uygulamaları Kurultayı | S. E. Yüksel | Conference paper | April 2014 |
| 49 | Differential Reflection Spectroscopy: A Novel Method for Explosive Detection | Acta Physica Polonica A | S. E. Yüksel, T. Dubroca, R. E. Hummel, P. D. Gader | Journal paper | February 2013 |
| 50 | Landmine Detection With Multiple Instance Hidden Markov Models | IEEE International Workshop on Machine Learning For Signal Processing (MLSP) | S. E. Yüksel, J. Bolton, P. Gader | Conference paper | September 2012 |
| 51 | Twenty Years of Mixture of Experts | IEEE Transactions on Neural Networks and Learning Systems | S. E. Yüksel, J. N. Wilson, P. D. Gader | Journal paper | August 2012 |
| 52 | Mixture of HMM Experts with Applications to Landmine Detection | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | S. E. Yüksel, P. Gader | Conference paper | July 2012 |
| 53 | An automatic detection software for differential reflection spectroscopy | SPIE Defense, Security, and Sensing: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery | S. E. Yüksel, T. Dubroca, R. Hummel, P. Gader | Conference paper | May 2012 |
| 54 | Context-based classification with applications in landmine detection | Lambert Academic Publishing | S. E. Yüksel | Book | March 2012 |
| 55 | Spectral Analysis for the Detection of Explosives with Differential Reflectometry | Grace Hopper Conference (GHC) | S. E. Yüksel, T. Dubroca, R. Hummel, P. Gader | Conference paper | October 2011 |
| 56 | Sub-pixel Target Spectra Estimation and Detection Using Functions of Multiple Instances | IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) | A. Zare, P. Gader, J. Bolton, S. E. Yüksel, T. Dubroca, R. Close, R. Hummel | Conference paper | June 2011 |
| 57 | Engineering Education for the Net Generation: A Case Study of How Students Use Resources in Software Engineering | International Engineering Education Conference (IEEC) | S. E. Yüksel, P. J. Dobbins | Conference paper | November 2010 |
| 58 | Simultaneous Feature and HMM Model Learning for Landmine Detection using Ground Penetrating Radar | Pattern Recognition in Remote Sensing Workshop (PRRS) | X. Zhang, S. E. Yüksel, P. Gader, J. Wilson | Conference paper | August 2010 |
| 59 | Variational Mixture of Experts for Classification with applications to landmine detection | International Conference on Pattern Recognition (ICPR) | S. E. Yüksel, P. Gader | Conference paper | August 2010 |
| 60 | Hierarchical methods for landmine detection with wideband electro-magnetic induction and ground penetrating radar multi-sensor systems | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | S. E. Yüksel, G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo | Conference paper | July 2008 |
| 61 | A Kidney Segmentation Framework for Dynamic Contrast Enhanced Magnetic Resonance Imaging | Journal of Vibration and Control | S. E. Yüksel, A. El-Baz, A. A. Farag, M. El-Ghar, T. Eldiasty, M. A. Ghoneim | Journal paper | September 2007 |
| 62 | Application Of Deformable Models For The Detection Of Acute Renal Rejection | Deformable Models: Biomedical and Clinical Applications (Topics in Biomedical Engineering. International Book Series) | A. El-Baz, A. A. Farag, S. E. Yüksel, M. A. El-Ghar, T. A. E. a. M. A. Ghoneim | Book chapter | July 2007 |
| 63 | A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI | Lecture Notes In Computer Science (MICCAI) | A. El-Baz, R. Fahmi, S. E. Yüksel, A. A. Farag, W. Miller, M. A. El-Ghar, T. Eldiasty | Conference paper | October 2006 |
| 64 | A Novel Approach for the Detection of Acute Rejection with Dynamic Contrast Enhanced Magnetic Resonance Imaging | 13th European Symposium on Urogenital Radiology (ESUR) | A. El-Baz, A. A. Farag, S. E. Yüksel, M. A. El-Ghar, T. Eldiasty | Conference paper | September 2006 |
| 65 | Image Analysis of Renal DCE-MRI for the Detection of Acute Renal Rejection | 18th International Conference on Pattern Recognition (ICPR) | A. El-Baz, A. A. Farag, R. Fahmi, S. E. Yüksel, M. A. El-Ghar, T. Eldiasty | Conference paper | August 2006 |
| 66 | Level Set Segmentation using Statistical Shape Priors | Computer Vision and Pattern Recognition Workshop (CVPRW) | A. El-baz, A. A. Farag, H. A. E. Munim, S. E. Yüksel | Conference paper | June 2006 |
| 67 | A Framework for the Detection of Acute Renal Rejection with Dynamic Contrast Enhanced Magnetic Resonance Imaging | Proceedings of International Symposium on Biomedical Imaging: Nano to Macro (ISBI) | A. Farag, A. El-Baz, S. E. Yüksel, M. A. El-Ghar, T. Eldiasty | Conference paper | April 2006 |
| 68 | 2D and 3D Shape Based Segmentation Using Deformable Models | Lecture Notes In Computer Science (MICCAI) | A. El-Baz, S. E. Yüksel, H. Shi, A. A. Farag, M. A. El-Ghar, T. Eldiasty, a. M. A. Ghoneim | Conference paper | October 2005 |
| 69 | Non-rigid registration techniques for automatic follow-up of lung nodules | Proc. of Computer Assisted Radiology and Surgery (CARS) | A. El-Baz, S. E. Yüksel, S. Elshazly, A. A. Farag | Conference paper | June 2005 |
| 70 | Automatic detection of renal rejection after kidney transplantation | Proc. of Computer Assisted Radiology and Surgery (CARS) | S. E. Yüksel, A. El-Baz, A. A. Farag, M. E. A. El-Ghar, T. A. Eldiasty, M. A. Ghoneim | Conference paper | June 2005 |