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ORCIDKoray Kayabol
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2020 – today
- 2024
[j17]Sarmad Fakhrulddin Ismael
, Koray Kayabol, Erchan Aptoula:
Unsupervised domain adaptation for the semantic segmentation of remote sensing images via a class-aware Fourier transform and a fine-grained discriminator. Digit. Signal Process. 151: 104551 (2024)- [j16]Ilter Turkmenli, Erchan Aptoula, Koray Kayabol:
HistSegNet: Histogram Layered Segmentation Network for SAR Image-Based Flood Segmentation. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c38]Alper Balmumcu, Koray Kayabol, Esra Erten:
Machine Learning-based Crop Yield Prediction by Data Augmentation. SIU 2024: 1-4 - 2023
- [j15]Sarmad Fakhrulddin Ismael, Koray Kayabol, Erchan Aptoula:
Unsupervised Domain Adaptation for the Semantic Segmentation of Remote Sensing Images via One-Shot Image-to-Image Translation. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c37]Ilter Turkmenli, Koray Kayabol, Erchan Aptoula:
A Smoothing Layer for SAR Image Semantic Segmentation with Fully Convolutional Networks. JURSE 2023: 1-4 - 2022
- [j14]Sertac Arisoy, Nasser M. Nasrabadi, Koray Kayabol:
Unsupervised Pixel-Wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j13]Koray Kayabol, Ensar Burak Aytekin, Sertac Arisoy, Ercan Engin Kuruoglu:
Skewed t-Distribution for Hyperspectral Anomaly Detection Based on Autoencoder. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c36]Fatih Emre Simsek, Cevahir Cigla, Koray Kayabol:
SOMPT22: A Surveillance Oriented Multi-pedestrian Tracking Dataset. ECCV Workshops (5) 2022: 659-675 - [c35]Koray Kayabol, Ensar Burak Aytekin, Sertaç Arisoy, Ercan Engin Kuruoglu:
Hyperspectral Anomaly Detection with Multivariate Skewed t Background Model. SIU 2022: 1-4 - [c34]Ilter Türkmenli, Erchan Aptoula, Koray Kayabol:
Group Equivariant U-Net for the Semantic Segmentation of SAR Images. SIU 2022: 1-4 - [i3]Fatih Emre Simsek, Cevahir Cigla, Koray Kayabol:
SOMPT22: A Surveillance Oriented Multi-Pedestrian Tracking Dataset. CoRR abs/2208.02580 (2022) - [i2]Sarmad Fakhrulddin Ismael, Koray Kayabol, Erchan Aptoula:
Unsupervised Domain Adaptation for Semantic Segmentation using One-shot Image-to-Image Translation via Latent Representation Mixing. CoRR abs/2212.03826 (2022) - 2021
- [j12]Sertac Arisoy, Koray Kayabol:
Nonparametric Bayesian background estimation for hyperspectral anomaly detection. Digit. Signal Process. 111: 102993 (2021) - [j11]Sezer Kutluk, Koray Kayabol, Aydin Akan:
A new CNN training approach with application to hyperspectral image classification. Digit. Signal Process. 113: 103016 (2021) - [c33]Fatma Nur Yilmaz, Sertaç Arisoy, Koray Kayabol:
Unsupervised Hyperspectral Anomaly Detection with Convolutional Neural Networks. SIU 2021: 1-4 - 2020
- [j10]Koray Kayabol:
Approximate Sparse Multinomial Logistic Regression for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 490-493 (2020) - [c32]Sertac Arisoy, Nasser M. Nasrabadi, Koray Kayabol:
GAN-based Hyperspectral Anomaly Detection. EUSIPCO 2020: 1891-1895 - [c31]Ilter Türkmenli, Erchan Aptoula, Koray Kayabol:
Land Cover Classification of PolSAR Images Using Semantic Segmentation Networks. SIU 2020: 1-4
2010 – 2019
- 2019
- [j9]Ayse Tombak, Ilter Turkmenli, Erchan Aptoula, Koray Kayabol:
Pixel-Based Classification of SAR Images Using Feature Attribute Profiles. IEEE Geosci. Remote. Sens. Lett. 16(4): 564-567 (2019) - [c30]Sezer Kutluk, Koray Kayabol, Aydin Akan:
Spectral-Spatial Classification of Hyperspectral Images Using CNNs and Approximate Sparse Multinomial Logistic Regression. EUSIPCO 2019: 1-5 - [c29]Ilter Türkmenli, Koray Kayabol:
Ensemble Learning Based Classification of High Resolution SAR Images. SIU 2019: 1-4 - [c28]Sertac Arisoy, Koray Kayabol:
Anomaly Detection In Hyperspectral Images Via Superpixel Segmentation And Unsupervised Background Learning. WHISPERS 2019: 1-5 - 2018
- [c27]Sezer Kutluk, Koray Kayabol, Aydin Akan:
A discriminative model for contextual classification of hyperspectral images. SIU 2018: 1-4 - [c26]Yunus Emre Sahin, Sertac Arisoy, Koray Kayabol:
Anomaly detection with Bayesian Gauss Background Model in hyperspectral images. SIU 2018: 1-4 - [c25]Sadettin Durmus Talipoglu, Koray Kayabol, Kutalmis Gokalp Ince:
A comparative study on fusion of visible and infrared images. SIU 2018: 1-4 - [c24]Ayse Tombak, Erchan Aptoula, Koray Kayabol:
Pixel-based classification of SAR images using features. SIU 2018: 1-4 - [c23]Ilter Turkmenli, Koray Kayabol, Erchan Aptoula:
Comparison of semantic classification algorithms on SAR images. SIU 2018: 1-4 - 2017
- [c22]Sertac Arisoy, Koray Kayabol:
Classification of local SAR features with convolutional neural network. SIU 2017: 1-4 - 2016
- [j8]Koray Kayabol, Sezer Kutluk:
Bayesian classification of hyperspectral images using spatially-varying Gaussian mixture model. Digit. Signal Process. 59: 106-114 (2016) - [j7]Sertac Arisoy, Koray Kayabol:
Mixture-Based Superpixel Segmentation and Classification of SAR Images. IEEE Geosci. Remote. Sens. Lett. 13(11): 1721-1725 (2016) - [c21]Sezer Kutluk, Koray Kayabol, Aydin Akan:
Classification of hyperspectral images using mixture of probabilistic PCA models. EUSIPCO 2016: 1568-1572 - [c20]Sezer Kutluk, Koray Kayabol, Aydin Akan:
A probabilistic method for the classification of hyperspectral images. SIU 2016: 905-908 - [c19]Sertac Arisoy, Koray Kayabol:
Comparison of superpixel algorithms on hyperspectral images. SIU 2016: 1469-1472 - 2015
- [j6]Koray Kayabol:
Histogram-Based Contextual Classification of SAR Images. IEEE Geosci. Remote. Sens. Lett. 12(1): 33-37 (2015) - [c18]Koray Kayabol:
Model-based superpixel segmentation of SAR images. EUSIPCO 2015: 1800-1804 - [c17]Koray Kayabol:
Bayesian Gaussian mixture model for spatial-spectral classification of hyperspectral images. EUSIPCO 2015: 1805-1809 - [c16]Sertac Arisoy, Koray Kayabol:
Superpixel-based classification of SAR images. SIU 2015: 783-786 - 2014
- [c15]Koray Kayabol:
Local histogram based classification of SAR images using spatially dependent mixtures. ICIP 2014: 5157-5161 - 2013
- [j5]Koray Kayabol, Bilge Günsel:
Unsupervised classification of SAR images using normalized gamma process mixtures. Digit. Signal Process. 23(5): 1344-1352 (2013) - [j4]Koray Kayabol, Josiane Zerubia:
Unsupervised Amplitude and Texture Classification of SAR Images With Multinomial Latent Model. IEEE Trans. Image Process. 22(2): 561-572 (2013) - [c14]Koray Kayabol, Bilge Günsel:
SAR image classification with normalized gamma process mixtures. ICIP 2013: 320-324 - 2012
- [c13]Koray Kayabol, Josiane Zerubia:
A comparison of texture and amplitude based unsupervised SAR image classifications for urban area extraction. IGARSS 2012: 4054-4057 - [c12]Koray Kayabol:
Latent variable based spatial clustering with background noise. SIU 2012: 1-4 - [c11]Koray Kayabol, Josiane Zerubia:
An hierarchical approach for model-based classification of SAR images. SIU 2012: 1-4 - [i1]Koray Kayabol:
Region-based Unsupervised Classification of SAR Images. ERCIM News 2012(89) (2012) - 2011
- [c10]Koray Kayabol, Aurélie Voisin, Josiane Zerubia:
SAR image classification with non-stationary Multinomial Logistic mixture of amplitude and texture densities. ICIP 2011: 169-172 - [c9]Diego Herranz, Francisco Argüeso, Emanuele Salerno, Ercan E. Kuruoglu, Koray Kayabol:
Bayesian MAP detection of extragalactic point sources in microwave astronomical images. ICIP 2011: 1293-1296 - [c8]Koray Kayabol, Vladimir A. Krylov, Josiane Zerubia:
Unsupervised Classification of SAR Images Using Hierarchical Agglomeration and EM. MUSCLE 2011: 54-65 - 2010
- [j3]Koray Kayabol, Ercan E. Kuruoglu, José Luis Sanz, Bülent Sankur, Emanuele Salerno, Diego Herranz:
Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps. IEEE Trans. Image Process. 19(9): 2357-2368 (2010) - [c7]Koray Kayabol, Emanuele Salerno, José Luis Sanz, Diego Herranz, Ercan E. Kuruoglu:
Blind source separation from multi-channel observations with channel-variant spatial resolutions. EUSIPCO 2010: 1077-1081 - [c6]Koray Kayabol, Ercan E. Kuruoglu:
Non-stationary t-Distribution Prior for Image Source Separation from Blurred Observations. LVA/ICA 2010: 506-513 - [c5]Qing Yan, Ercan E. Kuruoglu, Xiaokang Yang, Yi Xu, Koray Kayabol:
Separating Reflections from a Single Image Using Spatial Smoothness and Structure Information. LVA/ICA 2010: 637-644
2000 – 2009
- 2009
- [j2]Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur:
Bayesian Separation of Images Modeled With MRFs Using MCMC. IEEE Trans. Image Process. 18(5): 982-994 (2009) - [c4]Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur, Emanuele Salerno, Luigi Bedini:
Fast MCMC separation for MRF modelled astrophysical components. ICIP 2009: 2769-2772 - [c3]Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur:
Image Source Separation Using Color Channel Dependencies. ICA 2009: 499-506 - 2008
- [c2]Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur:
Image separation using iterated posterior point estimation. EUSIPCO 2008: 1-5 - 2007
- [c1]Koray Kayabol, Bülent Sankur, Ercan E. Kuruoglu:
Source separation in images via MRFS with variational approximation. EUSIPCO 2007: 423-427 - 2002
- [j1]Emir Tufan Akman, Koray Kayabol:
The Use of CNN for 2D Two-Channel DC IIR Filter Bank Design. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(11): 2551-2556 (2002)
Coauthor Index
aka: Sertaç Arisoy
aka: Ercan Engin Kuruoglu
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