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
48 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
41 2009 Approximate sparse multinomial logistic regression for classification K Kayabol
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (2), 490-493, 2019
33 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 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
29 2019 Bayesian classification of hyperspectral images using spatially-varying Gaussian mixture model K Kayabol, S Kutluk
Digital Signal Processing 59, 106-114, 2016
23 2016 GAN-based Hyperspectral Anomaly Detection S Arisoy, NM Nasrabadi, K Kayabol
2020 28th European Signal Processing Conference (EUSIPCO), 1891-1895, 2021
22 2021 Adaptive Langevin Sampler for Separation of K Kayabol, EE Kuruoglu, JL Sanz, B Sankur, E Salerno, D Herranz
IEEE Transactions on Image Processing 19 (9), 2357-2368, 2010
21 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
12 2021 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 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
11 2018 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 
Ercan Engin Kuruoglu, PhD Cantab, P...Professor at Tsinghua-Berkeley Shenzhen InstituteDirección de correo verificada de isti.cnr.it
