Follow
Gencer Sumbul
Title
Cited by
Cited by
Year
Bigearthnet: A large-scale benchmark archive for remote sensing image understanding
G Sumbul, M Charfuelan, B Demir, V Markl
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
3522019
BigEarthNet-MM: A large-scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval [software and data sets]
G Sumbul, A De Wall, T Kreuziger, F Marcelino, H Costa, P Benevides, ...
IEEE Geoscience and Remote Sensing Magazine 9 (3), 174-180, 2021
902021
Fine-grained object recognition and zero-shot learning in remote sensing imagery
G Sumbul, RG Cinbis, S Aksoy
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 770-779, 2017
812017
SD-RSIC: Summarization-driven deep remote sensing image captioning
G Sumbul, S Nayak, B Demir
IEEE Transactions on Geoscience and Remote Sensing 59 (8), 6922-6934, 2020
572020
A deep multi-attention driven approach for multi-label remote sensing image classification
G Sumbul, B Demİr
IEEE Access 8, 95934-95946, 2020
392020
A comparative study of deep learning loss functions for multi-label remote sensing image classification
H Yessou, G Sumbul, B Demir
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
372020
Multisource region attention network for fine-grained object recognition in remote sensing imagery
G Sumbul, RG Cinbis, S Aksoy
IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4929-4937, 2019
372019
A novel multi-attention driven system for multi-label remote sensing image classification
G Sumbul, B Demir
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
362019
BigEarthNet dataset with a new class-nomenclature for remote sensing image understanding
G Sumbul, J Kang, T Kreuziger, F Marcelino, H Costa, P Benevides, ...
arXiv preprint arXiv:2001.06372, 2020
352020
Deep learning for image search and retrieval in large remote sensing archives
G Sumbul, J Kang, B Demir
Deep learning for the earth sciences: a comprehensive approach to remote …, 2021
252021
Informative and representative triplet selection for multilabel remote sensing image retrieval
G Sumbul, M Ravanbakhsh, B Demir
IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021
222021
Remote-sensing image scene classification with deep neural networks in JPEG 2000 compressed domain
AP Byju, G Sumbul, B Demir, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3458-3472, 2020
152020
Plasticity-stability preserving multi-task learning for remote sensing image retrieval
G Sumbul, B Demir
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022
132022
An approach to super-resolution of Sentinel-2 images based on generative adversarial networks
K Zhang, G Sumbul, B Demir
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020
122020
A novel graph-theoretic deep representation learning method for multi-label remote sensing image retrieval
G Sumbul, B Demir
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 266-269, 2021
102021
Towards simultaneous image compression and indexing for scalable content-based retrieval in remote sensing
G Sumbul, J Xiang, B Demir
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022
52022
A CNN-RNN framework with a novel patch-based multi-attention mechanism for multi-label image classification in remote sensing
G Sumbul, B Demir
arXiv preprint arXiv:1902.11274, 2019
52019
BigEarthNet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding. arXiv 2019
G Sumbul, M Charfuelan, B Demir, V Markl
arXiv preprint arXiv:1902.06148, 0
5
A Novel Self-Supervised Cross-Modal Image Retrieval Method in Remote Sensing
G Sumbul, M Müller, B Demir
2022 IEEE International Conference on Image Processing (ICIP), 2426-2430, 2022
42022
Deep active learning for multi-label classification of remote sensing images
L Möllenbrok, G Sumbul, B Demir
IEEE Geoscience and Remote Sensing Letters, 2023
22023
The system can't perform the operation now. Try again later.
Articles 1–20