30. M. Ilteralp, S. Ariman, E. Aptoula, A Deep Multitask Semisupervised Learning Approach for Chlorophyll-a Retrieval from Remote Sensing Images, Remote Sensing, Vol. 14, No. 1, 2022 29. E. Aptoula, S. Ariman, Hierarchical Spatial-Spectral Features for the Chlorophyll-a Estimation of Lake Balik, Turkey, IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022 28. E. Aptoula, S. Ariman, Chlorophyll-a retrieval from Sentinel-2 images using convolutional neural network regression, IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022 27. A. Salazar-Gomez, S. Parsons, E. Aptoula, P. Bosilj, Deep Regression versus Detection for Counting in Robotic Phenotyping, IEEE Robotics and Automation Letters, Vol 6, No 2, pp 2902 - 2907, April, 2021 26. D. Santana Maia, M-T. Pham, E. Aptoula, F. Guiotte, S. Lefevre, Classification of remote sensing data with morphological attribute profiles: a decade of advances, IEEE Geoscience and Remote Sensing Magazine, Vol. 9, No. 3, pp 43 - 71, September, 2021 25. M. Bozo, E. Aptoula, Z. Cataltepe, A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification, Journal of Imaging, Vol. 6, No. 8, pp 68, July, 2020 24. P. Bosilj, E. Aptoula, T. Duckett, G. Cielniak, Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture, Journal of Field Robotics, March, 2019 23. M. A. Dede, E. Aptoula, Y. Genc, Deep network ensembles for aerial scene classification, IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 5, pp 732 - 735, May, 2019 22. A. Tombak, I. Turkmenli, E. Aptoula, K. Kayabol, Pixel-based Classification of SAR Images using Feature Attribute Profiles, IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 4, pp 564 - 567, April, 2019 21. A. A. Davari, E. Aptoula, B. Yanikoglu, A. Maier, C. Riess, GMM-Based Synthetic Samples for Classification of Hyperspectral Images with Limited Training Data, IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 6, pp 942 - 946, June, 2018 20. M-T. Pham, S. Lefevre, E. Aptoula, Local Feature-based Attribute Profiles for Optical Remote Sensing Image Classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 2, pp 1199 - 1212, February, 2018 19. M-T. Pham, E. Aptoula, S. Lefevre, Feature profiles from attribute filtering for classification of remote sensing images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, No. 1, pp 249 - 256, January, 2018 18. B. Hwang, J. Ren, S. McCormack, C. Berry, I. Ben Ayed, H. C. Graber, E. Aptoula, A practical algorithm for the retrieval of floe size distribution of Arctic sea ice from high-resolution satellite Synthetic Aperture Radar imagery, Elementa, 5:38, 2017 17. M. M. Ghazi, B. Yanikoglu, E. Aptoula, Plant Identification Using Deep Neural Networks via Optimization of Transfer Learning Parameters, Neurocomputing, Vol. 235, pp 228 - 235, 2017 16. P. Bosilj, E. Aptoula, S. Lefevre, E. Kijak, Retrieval of Remote Sensing Images with Pattern Spectra Descriptors, ISPRS International Journal of Geo-Information, Special Issue: "Mathematical Morphology in Geoinformatics", Vol. 5, No. 12, 228, 2016 (Open Access) 15. E. Aptoula, M. C. Ozdemir, B. Yanikoglu, Deep Learning with Attribute Profiles for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 12, 2016 14. E. Aptoula, M. Dalla-Mura, S. Lefevre, Vector attribute profiles for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 6, pp 3208 - 3220, June, 2016 13. B. Ozkan, E. Aptoula, A. T. Heren, H. Mandaci, Optimisation of tractor semi-trailer command steering mechanism using a genetic algorithm, International Journal of Vehicle Design, Vol. 71, No.1/2/3/4, pp 258 - 278, 2016 12. E. Aptoula, Hyperspectral image classification with multi-dimensional attribute profiles, IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 10, pp 2031 – 2035, October 2015 11. B. Yanikoglu, E. Aptoula and C. Tirkaz, Automatic plant identification from photographs, Machine Vision and Applications, Vol. 25, No. 6, pp 1369 - 1383, August 2014 10. E. Aptoula, The impact of multivariate quasi-flat zones on the morphological description of hyperspectral images, International Journal of Remote Sensing, Vol. 35, No. 10, pp 3482 – 3498, May 2014 9. E. Aptoula, Remote sensing image retrieval with global morphological texture descriptors, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 5, pp 3023 – 3034, May 2014 8. E. Aptoula, Extending Morphological Covariance, Pattern Recognition, Vol. 45, No. 12, pp 4524 – 4535, December 2012 7. E. Aptoula, Comparative study of moment based parameterization for morphological texture description, Journal of Visual Communication and Image Representation, Vol. 23, No. 8, pp 1213 – 1224, November 2012 6. E. Aptoula and S. Lefèvre, Morphological description of color images for content-based retrieval, IEEE Transactions on Image Processing, Vol. 18, No. 11, pp 2505 – 2517, November 2009 5. E. Aptoula and S. Lefèvre, On the Morphological Processing of Hue, Image and Vision Computing, Vol. 27, No. 9, pp 1394 – 1401, August 2009 4. E. Aptoula, S. Lefèvre and Ch. Ronse, A Hit-Or-Miss Transform for Multivariate Images, Pattern Recognition Letters, Vol. 30, No. 8, pp 760 – 764, June 2009 3. E. Aptoula and S. Lefèvre, Alpha-trimmed lexicographical extrema for pseudo morphological image analysis, Journal of Visual Communication and Image Representation, Vol. 19, No. 3, pp 165 – 174, April 2008 2. E. Aptoula and S. Lefèvre, On lexicographical ordering in Multivariate Mathematical Morphology, Pattern Recognition Letters, Vol. 29, No. 2, pp 109 – 118, January 2008 1. E. Aptoula and S. Lefèvre, A Comparative Study on Multivariate Mathematical Morphology, Pattern Recognition, Vol. 40, No. 11, pp 2914 – 2929, November 2007