Plant identification using deep neural networks via optimization of transfer learning parameters MM Ghazi, B Yanikoglu, E Aptoula Neurocomputing 235, 228-235, 2017 | 585 | 2017 |
A comparative study on multivariate mathematical morphology E Aptoula, S Lefèvre Pattern Recognition 40 (11), 2914-2929, 2007 | 342 | 2007 |
Remote sensing image retrieval with global morphological texture descriptors E Aptoula IEEE transactions on geoscience and remote sensing 52 (5), 3023-3034, 2013 | 204 | 2013 |
Deep learning with attribute profiles for hyperspectral image classification E Aptoula, MC Ozdemir, B Yanikoglu IEEE Geoscience and Remote Sensing Letters 13 (12), 1970-1974, 2016 | 155 | 2016 |
Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture P Bosilj, E Aptoula, T Duckett, G Cielniak Journal of Field Robotics 37 (1), 7-19, 2020 | 148 | 2020 |
Automatic plant identification from photographs B Yanikoglu, E Aptoula, C Tirkaz Machine vision and applications 25, 1369-1383, 2014 | 113 | 2014 |
On lexicographical ordering in multivariate mathematical morphology E Aptoula, S Lefèvre Pattern Recognition Letters 29 (2), 109-118, 2008 | 107 | 2008 |
Morphological description of color images for content-based image retrieval E Aptoula, S Lefèvre IEEE Transactions on Image Processing 18 (11), 2505-2517, 2009 | 76 | 2009 |
Retrieval of remote sensing images with pattern spectra descriptors P Bosilj, E Aptoula, S Lefèvre, E Kijak ISPRS International Journal of Geo-Information 5 (12), 228, 2016 | 56 | 2016 |
Morphological features for leaf based plant recognition E Aptoula, B Yanikoglu 2013 IEEE International Conference on Image Processing, 1496-1499, 2013 | 54 | 2013 |
On the morphological processing of hue E Aptoula, S Lefèvre Image and Vision Computing 27 (9), 1394-1401, 2009 | 45 | 2009 |
Deep network ensembles for aerial scene classification MA Dede, E Aptoula, Y Genc IEEE Geoscience and Remote Sensing Letters 16 (5), 732-735, 2018 | 43 | 2018 |
α-trimmed lexicographical extrema for pseudo-morphological image analysis E Aptoula, S Lefèvre Journal of Visual Communication and Image Representation 19 (3), 165-174, 2008 | 41 | 2008 |
Vector attribute profiles for hyperspectral image classification E Aptoula, M Dalla Mura, S Lefèvre IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3208-3220, 2016 | 39 | 2016 |
Local feature-based attribute profiles for optical remote sensing image classification MT Pham, S Lefevre, E Aptoula IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1199-1212, 2017 | 36 | 2017 |
Extending morphological covariance E Aptoula Pattern Recognition 45 (12), 4524-4535, 2012 | 35 | 2012 |
GMM-based synthetic samples for classification of hyperspectral images with limited training data A Davari, E Aptoula, B Yanikoglu, A Maier, C Riess IEEE Geoscience and Remote Sensing Letters 15 (6), 942-946, 2018 | 33 | 2018 |
Chlorophyll-a retrieval from sentinel-2 images using convolutional neural network regression E Aptoula, S Ariman IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 30 | 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, 2018 | 30 | 2018 |
Sabanci-Okan System at ImageClef 2012: Combining Features and Classifiers for Plant Identification. BA Yanikoglu, E Aptoula, C Tirkaz CLEF (Online Working Notes/Labs/Workshop) 23, 2012 | 30 | 2012 |