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ORCIDErchan Aptoula
Erhan Aptoula
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- affiliation: Sabanci University, Turkey
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2020 – today
- 2024
[j30]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)- [j29]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) - [c56]Efkan Durakli, Petra Bosilj, Charles Fox, Erchan Aptoula:
A Domain Generalized Mask R-CNN for Building Instance Segmentation. IGARSS 2024: 9684-9687 - [c55]Furkan Gül, Erchan Aptoula:
A Distance Transform Based Loss Function for the Semantic Segmentation of Very High Resolution Remote Sensing Images. IGARSS 2024: 9888-9891 - 2023
- [j28]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) - [c54]Karthik Seemakurthy, Charles Fox, Erchan Aptoula, Petra Bosilj:
Domain Generalised Faster R-CNN. AAAI 2023: 2180-2190 - [c53]Karthik Seemakurthy, Petra Bosilj, Erchan Aptoula, Charles Fox:
Domain Generalised Fully Convolutional One Stage Detection. ICRA 2023: 7002-7009 - [c52]Deren Ege Turan, Erchan Aptoula, Alp Ertürk, Gülsen Taskin:
Interpreting Hyperspectral Remote Sensing Image Classification Methods Via Explainable Artificial Intelligence. IGARSS 2023: 5950-5953 - [c51]Ilter Turkmenli, Koray Kayabol, Erchan Aptoula:
A Smoothing Layer for SAR Image Semantic Segmentation with Fully Convolutional Networks. JURSE 2023: 1-4 - [c50]Efkan Durakli, Erchan Aptoula:
Domain Generalized Object Detection for Remote Sensing Images. SIU 2023: 1-4 - [c49]Cengizhan Haldiz, Sarmad Fakhrulddin Ismael, Hasari Çelebi, Erchan Aptoula:
Crowd Counting via Joint SASNet and a Guided Batch Normalization Network. SIU 2023: 1-4 - [c48]Ismail Sahin, Alp Ertürk, Erchan Aptoula:
Band-Based Interpretability with SHAP for Hyperspectral Classification. SIU 2023: 1-4 - [i7]Berker Demirel, Erchan Aptoula, Huseyin Ozkan:
ADRMX: Additive Disentanglement of Domain Features with Remix Loss. CoRR abs/2308.06624 (2023) - [i6]Gülsen Taskin, Erchan Aptoula, Alp Ertürk:
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities. CoRR abs/2311.04491 (2023) - 2022
- [j27]Erchan Aptoula, Sema Ariman:
Hierarchical Spatial-Spectral Features for the Chlorophyll-a Estimation of Lake Balik, Turkey. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j26]Erchan Aptoula, Sema Ariman:
Chlorophyll-a Retrieval From Sentinel-2 Images Using Convolutional Neural Network Regression. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j25]Melike Ilteralp, Sema Ariman, Erchan Aptoula:
A Deep Multitask Semisupervised Learning Approach for Chlorophyll-a Retrieval from Remote Sensing Images. Remote. Sens. 14(1): 18 (2022) - [c47]Hatice Kübra Teloglu, Erchan Aptoula:
A Morphological-Long Short Term Memory Network Applied to Crop Classification. IGARSS 2022: 3151-3154 - [c46]Usama Derbashi, Erchan Aptoula:
Scale-Spectral-Spatial Attention Network for Hyperspectral Image Classification. SIU 2022: 1-4 - [c45]Ilter Türkmenli, Erchan Aptoula, Koray Kayabol:
Group Equivariant U-Net for the Semantic Segmentation of SAR Images. SIU 2022: 1-4 - [i5]Karthik Seemakurthy, Charles Fox, Erchan Aptoula, Petra Bosilj:
Domain Generalisation for Object Detection. CoRR abs/2203.05294 (2022) - [i4]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
- [j24]Adrian Salazar Gomez, Erchan Aptoula, Simon Parsons, Petra Bosilj:
Deep Regression Versus Detection for Counting in Robotic Phenotyping. IEEE Robotics Autom. Lett. 6(2): 2902-2907 (2021) - [c44]seydanur Ekinci, Erchan Aptoula:
Weed and Crop Classification with Domain Adaptation for Precision Agriculture. SIU 2021: 1-4 - [c43]Firat Kizilirmak, Erchan Aptoula:
Crop Classification from Multi-Temporal and Multi-spectral Remote Sensing Images. SIU 2021: 1-4 - [c42]Selman Yasin Özleyen, Erchan Aptoula:
Crowd Counting with Distribution Matching and Dilated Networks. SIU 2021: 1-4 - [c41]Hatice Kübra Telogglu, Erchan Aptoula:
LSTM AutoEncoders Applied to Semi-Supervised Crop Classification. SIU 2021: 1-4 - [c40]Melike Ilteralp, Erchan Aptoula:
Processing Attribute Profiles as Scale-series for Remote Sensing Image Classification. VISIGRAPP (4: VISAPP) 2021: 558-565 - 2020
- [j23]Petra Bosilj, Erchan Aptoula, Tom Duckett, Grzegorz Cielniak:
Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture. J. Field Robotics 37(1): 7-19 (2020) - [j22]Merve Bozo, Erchan Aptoula, Zehra Çataltepe:
A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification. J. Imaging 6(7): 68 (2020) - [c39]Sara Atito Ali Ahmed, Berrin A. Yanikoglu, Özgü Göksu, Erchan Aptoula:
Skin Lesion Classification With Deep CNN Ensembles. SIU 2020: 1-4 - [c38]Erchan Aptoula, Fatih Kahraman, Gökhan Özbulak, M. Said Aydemir, Mumin Imamoglu, Asaf Mustafa Sofu, Ismail Yilmaz:
Segmentation networks reinforced with attribute profiles for large scale land-cover map production. SIU 2020: 1-4 - [c37]M. Said Aydemir, Ali Naci Keyik, Fatih Kahraman, Erchan Aptoula:
Land Cover Map Production of the Sakarya Basin from Multi-Temporal Satellite Images. SIU 2020: 1-4 - [c36]Asaf Mustafa Sofu, Mümin Imamoglu, Fatih Kahraman, Göker Burak Çetin, Erchan Aptoula:
Fine-Grained Urban Land Use and Land Cover Classification Through Multi-temporal and Multispectral Remote Sensing Images. SIU 2020: 1-4 - [c35]Ilter Türkmenli, Erchan Aptoula, Koray Kayabol:
Land Cover Classification of PolSAR Images Using Semantic Segmentation Networks. SIU 2020: 1-4 - [c34]Ismail Yilmaz, Mümin Imamoglu, Gökhan Özbulak, Fatih Kahraman, Erchan Aptoula:
Large Scale Crop Classification from Multi-temporal and Multi-spectral Satellite Images. SIU 2020: 1-4
2010 – 2019
- 2019
- [j21]Muhammet Ali Dede, Erchan Aptoula, Yakup Genç:
Can additional spectral bands be estimated from aerial color images? Turkish J. Electr. Eng. Comput. Sci. 27(3): 1696-1703 (2019) - [j20]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) - [j19]Muhammet Ali Dede, Erchan Aptoula, Yakup Genc:
Deep Network Ensembles for Aerial Scene Classification. IEEE Geosci. Remote. Sens. Lett. 16(5): 732-735 (2019) - 2018
- [j18]AmirAbbas Davari, Erchan Aptoula, Berrin A. Yanikoglu, Andreas K. Maier, Christian Riess:
GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data. IEEE Geosci. Remote. Sens. Lett. 15(6): 942-946 (2018) - [j17]Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre:
Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 249-256 (2018) - [j16]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula:
Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(2): 1199-1212 (2018) - [c33]Sara Atito, Berrin A. Yanikoglu, Erchan Aptoula, Ipek Ganiyusufoglu, Aras Yildiz, Kerem Yildirir, Baris Sevilmis, Mehmet Umut Sen:
Plant Identification with Deep Learning Ensembles. CLEF (Working Notes) 2018 - [c32]Erchan Aptoula, Safak Guner Koc:
Attribute Profiles Without Thresholds. IGARSS 2018: 4507-4510 - [c31]Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre:
Classification of Remote Sensing Images Using Attribute Profiles and Feature Profiles from Different Trees: A Comparative Study. IGARSS 2018: 4511-4514 - [c30]Ozgu Goksu, Erchan Aptoula:
Content based image retrieval of remote sensing images based on deep features. SIU 2018: 1-4 - [c29]Ersan Oztavli, Erchan Aptoula:
Effect of early and late fusion on heart sound classification. SIU 2018: 1-4 - [c28]Ayse Tombak, Erchan Aptoula, Koray Kayabol:
Pixel-based classification of SAR images using features. SIU 2018: 1-4 - [c27]Ilter Turkmenli, Koray Kayabol, Erchan Aptoula:
Comparison of semantic classification algorithms on SAR images. SIU 2018: 1-4 - [i3]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Lorenzo Bruzzone:
Recent Developments from Attribute Profiles for Remote Sensing Image Classification. CoRR abs/1803.10036 (2018) - [i2]Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre:
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study. CoRR abs/1806.06985 (2018) - 2017
- [j15]Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula:
Plant identification using deep neural networks via optimization of transfer learning parameters. Neurocomputing 235: 228-235 (2017) - [c26]Sara Atito, Berrin A. Yanikoglu, Erchan Aptoula:
Plant Identification with Large Number of Classes: SabanciU-GebzeTU System in PlantCLEF 2017. CLEF (Working Notes) 2017 - [c25]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Bharath Bhushan Damodaran:
Classification of VHR remote sensing images using local feature-based attribute profiles. IGARSS 2017: 747-750 - [c24]Erchan Aptoula, Minh-Tan Pham, Sébastien Lefèvre:
Quasi-Flat Zones for Angular Data Simplification. ISMM 2017: 342-354 - [c23]Petra Bosilj, Bharath Bhushan Damodaran, Erchan Aptoula, Mauro Dalla Mura, Sébastien Lefèvre:
Attribute Profiles from Partitioning Trees. ISMM 2017: 381-392 - [c22]Safak Guner Koc, Erchan Aptoula:
Hyperspectral image classification with convolutional networks trained with self-dual attribute profiles. SIU 2017: 1-4 - [c21]Safak Guner Koc, Erchan Aptoula, Petra Bosilj, Bharath Bhushan Damodaran, Mauro Dalla Mura, Sébastien Lefèvre:
A comparative noise robustness study of tree representations for attribute profile construction. SIU 2017: 1-4 - [i1]AmirAbbas Davari, Erchan Aptoula, Berrin A. Yanikoglu, Andreas K. Maier, Christian Riess:
GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data. CoRR abs/1712.04778 (2017) - 2016
- [j14]Petra Bosilj, Erchan Aptoula, Sébastien Lefèvre, Ewa Kijak:
Retrieval of Remote Sensing Images with Pattern Spectra Descriptors. ISPRS Int. J. Geo Inf. 5(12): 228 (2016) - [j13]Erchan Aptoula, Murat Can Ozdemir, Berrin A. Yanikoglu:
Deep Learning With Attribute Profiles for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 13(12): 1970-1974 (2016) - [j12]Erchan Aptoula, Mauro Dalla Mura, Sébastien Lefèvre:
Vector Attribute Profiles for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(6): 3208-3220 (2016) - [c20]Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula:
Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks. CLEF (Working Notes) 2016: 518-524 - [c19]Murat Can Ozdemir, Erchan Aptoula, Berrin A. Yanikoglu:
Fruit detection with binary partition trees. SIU 2016: 1685-1688 - 2015
- [j11]Erchan Aptoula:
Hyperspectral Image Classification With Multidimensional Attribute Profiles. IEEE Geosci. Remote. Sens. Lett. 12(10): 2031-2035 (2015) - [c18]Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula, Ozlem Muslu, Murat Can Ozdemir:
Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition. CLEF (Working Notes) 2015 - [c17]Amir Abbas Davari, Erchan Aptoula, Berrin A. Yanikoglu:
On the effect of synthetic morphological feature vectors on hyperspectral image classification performance. SIU 2015: 653-656 - 2014
- [j10]Berrin A. Yanikoglu, Erchan Aptoula, Caglar Tirkaz:
Automatic plant identification from photographs. Mach. Vis. Appl. 25(6): 1369-1383 (2014) - [j9]Erchan Aptoula:
Remote Sensing Image Retrieval With Global Morphological Texture Descriptors. IEEE Trans. Geosci. Remote. Sens. 52(5): 3023-3034 (2014) - [c16]Erchan Aptoula:
Bag of morphological words for content-based geographical retrieval. CBMI 2014: 1-5 - [c15]Berrin A. Yanikoglu, S. Tolga Yildiran, Caglar Tirkaz, Erchan Aptoula:
Sabanci-Okan System at LifeCLEF 2014 Plant Identication Competition. CLEF (Working Notes) 2014: 771-777 - [c14]Erchan Aptoula, Nicolas Courty, Sébastien Lefèvre:
An end-member based ordering relation for the morphological description of hyperspectral images. ICIP 2014: 5097-5101 - 2013
- [c13]Berrin A. Yanikoglu, Erchan Aptoula, S. Tolga Yildiran:
Sabanci-Okan System at ImageClef 2013 Plant Identification Competition. CLEF (Working Notes) 2013 - [c12]Erchan Aptoula, Berrin A. Yanikoglu:
Morphological features for leaf based plant recognition. ICIP 2013: 1496-1499 - [c11]Erhan Aptoula, Jonathan Weber, Sébastien Lefèvre:
Vectorial Quasi-flat Zones for Color Image Simplification. ISMM 2013: 231-242 - [c10]Erchan Aptoula, Nicolas Courty, Sébastien Lefèvre:
Mitosis detection in breast cancer histological images with mathematical morphology. SIU 2013: 1-4 - [c9]Erchan Aptoula, Semih Korkmaz:
Remote sensing image retrieval using morphological texture descriptors. SIU 2013: 1-4 - 2012
- [j8]Erchan Aptoula:
Comparative study of moment based parameterization for morphological texture description. J. Vis. Commun. Image Represent. 23(8): 1213-1224 (2012) - [j7]Erchan Aptoula:
Extending morphological covariance. Pattern Recognit. 45(12): 4524-4535 (2012) - [c8]Berrin A. Yanikoglu, Erchan Aptoula, Caglar Tirkaz:
Sabanci-Okan System at ImageClef 2012: Combining Features and Classifiers for Plant Identification. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c7]Nicolas Courty, Erchan Aptoula, Sébastien Lefèvre:
A classwise supervised ordering approach for morphology based hyperspectral image classification. ICPR 2012: 1997-2000 - [c6]Semih Korkmaz, Erchan Aptoula:
Extended morphological covariance. SIU 2012: 1-4 - 2011
- [c5]Berrin A. Yanikoglu, Erchan Aptoula, Caglar Tirkaz:
Sabanci-Okan System at ImageClef 2011: Plant Identification Task. CLEF (Notebook Papers/Labs/Workshop) 2011
2000 – 2009
- 2009
- [j6]Erchan Aptoula, Sébastien Lefèvre:
On the morphological processing of hue. Image Vis. Comput. 27(9): 1394-1401 (2009) - [j5]Erchan Aptoula, Sébastien Lefèvre, Christian Ronse:
A hit-or-miss transform for multivariate images. Pattern Recognit. Lett. 30(8): 760-764 (2009) - [j4]Erchan Aptoula, Sébastien Lefèvre:
Morphological Description of Color Images for Content-Based Image Retrieval. IEEE Trans. Image Process. 18(11): 2505-2517 (2009) - 2008
- [j3]Erchan Aptoula, Sébastien Lefèvre:
alpha-Trimmed lexicographical extrema for pseudo-morphological image analysis. J. Vis. Commun. Image Represent. 19(3): 165-174 (2008) - [j2]Erchan Aptoula, Sébastien Lefèvre:
On lexicographical ordering in multivariate mathematical morphology. Pattern Recognit. Lett. 29(2): 109-118 (2008) - 2007
- [j1]Erchan Aptoula, Sébastien Lefèvre:
A comparative study on multivariate mathematical morphology. Pattern Recognit. 40(11): 2914-2929 (2007) - [c4]Erchan Aptoula, Sébastien Lefèvre:
A Basin Morphology Approach to Colour Image Segmentation by Region Merging. ACCV (1) 2007: 935-944 - [c3]Erchan Aptoula, Sébastien Lefèvre:
On morphological color texture characterization. ISMM (1) 2007: 153-164 - 2006
- [c2]Erchan Aptoula, Sébastien Lefèvre, C. Collet:
Mathematical morphology applied to the segmentation and classification of galaxies in multispectral images. EUSIPCO 2006: 1-5 - [c1]Erchan Aptoula, Sébastien Lefèvre:
Spatial Morphological Covariance Applied to Texture Classification. MRCS 2006: 522-529
Coauthor Index
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