Unsupervised amplitude and texture classification of SAR images with multinomial latent model K Kayabol, J Zerubia Image Processing, IEEE Transactions on 22 (2), 561-572, 2013 | 76 | 2013 |
Mixture-Based Superpixel Segmentation and Classification of SAR Images S Arisoy, K Kayabol IEEE Geoscience and Remote Sensing Letters 13 (11), 1721-1725, 2016 | 49 | 2016 |
Bayesian separation of images modeled with MRFs using MCMC K Kayabol, EE Kuruoglu, B Sankur IEEE Transactions on Image Processing 18 (5), 982-994, 2009 | 42 | 2009 |
Approximate sparse multinomial logistic regression for classification K Kayabol IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (2), 490-493, 2019 | 34 | 2019 |
Pixel-Based Classification of SAR Images Using Feature Attribute Profiles A Tombak, İ Türkmenli, E Aptoula, K Kayabol IEEE Geoscience and Remote Sensing Letters 16 (4), 564-567, 2019 | 31 | 2019 |
Correlated component analysis for diffuse component separation with error estimation on simulated Planck polarization data S Ricciardi, A Bonaldi, P Natoli, G Polenta, C Baccigalupi, E Salerno, ... Monthly Notices of the Royal Astronomical Society 406 (3), 1644-1658, 2010 | 30 | 2010 |
Unsupervised pixel-wise hyperspectral anomaly detection via autoencoding adversarial networks S Arisoy, NM Nasrabadi, K Kayabol IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 29 | 2021 |
GAN-based Hyperspectral Anomaly Detection S Arisoy, NM Nasrabadi, K Kayabol 2020 28th European Signal Processing Conference (EUSIPCO), 1891-1895, 2021 | 24 | 2021 |
Bayesian classification of hyperspectral images using spatially-varying Gaussian mixture model K Kayabol, S Kutluk Digital Signal Processing 59, 106-114, 2016 | 24 | 2016 |
Adaptive Langevin Sampler for Separation of -Distribution Modelled Astrophysical Maps K Kayabol, EE Kuruoglu, JL Sanz, B Sankur, E Salerno, D Herranz IEEE Transactions on Image Processing 19 (9), 2357-2368, 2010 | 22 | 2010 |
Histogram-based contextual classification of SAR images K Kayabol IEEE Geoscience and Remote Sensing Letters 12 (1), 33-37, 2015 | 17 | 2015 |
A Bayesian technique for the detection of point sources in cosmic microwave background maps F Argüeso, E Salerno, D Herranz, JL Sanz, EE Kuruoğlu, K Kayabol Monthly Notices of the Royal Astronomical Society 414 (1), 410-417, 2011 | 17 | 2011 |
SAR image classification with non-stationary multinomial logistic mixture of amplitude and texture densities K Kayabol, A Voisin, J Zerubia 2011 18th IEEE International Conference on Image Processing, 169-172, 2011 | 16 | 2011 |
Image source separation using color channel dependencies K Kayabol, E Kuruoglu, B Sankur Independent Component Analysis and Signal Separation, 499-506, 2009 | 15 | 2009 |
A new CNN training approach with application to hyperspectral image classification S Kutluk, K Kayabol, A Akan Digital Signal Processing 113, 103016, 2021 | 14 | 2021 |
Skewed t-Distribution for Hyperspectral Anomaly Detection Based on Autoencoder K Kayabol, EB Aytekin, S Arisoy, EE Kuruoglu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 13 | 2021 |
Anomaly detection with Bayesian Gauss Background Model in hyperspectral images YE SahIn, S Arisoy, K Kayabol 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 12 | 2018 |
Separating reflections from a single image using spatial smoothness and structure information Q Yan, E Kuruoglu, X Yang, Y Xu, K Kayabol Latent Variable Analysis and Signal Separation, 637-644, 2010 | 12 | 2010 |
Nonparametric Bayesian background estimation for hyperspectral anomaly detection S Arisoy, K Kayabol Digital Signal Processing 111, 102993, 2021 | 8 | 2021 |
Classification of hyperspectral images using mixture of probabilistic PCA models S Kutluk, K Kayabol, A Akan 2016 24th European Signal Processing Conference (EUSIPCO), 1568-1572, 2016 | 8 | 2016 |