| 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 | 352 | 2019 |
| 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 | 90 | 2021 |
| 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 | 81 | 2017 |
| 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 | 57 | 2020 |
| A deep multi-attention driven approach for multi-label remote sensing image classification G Sumbul, B Demİr IEEE Access 8, 95934-95946, 2020 | 39 | 2020 |
| 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 | 37 | 2020 |
| 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 | 37 | 2019 |
| 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 | 36 | 2019 |
| 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 | 35 | 2020 |
| 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 | 25 | 2021 |
| 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 | 22 | 2021 |
| 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 | 15 | 2020 |
| 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 | 13 | 2022 |
| 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 | 12 | 2020 |
| 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 | 10 | 2021 |
| 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 | 5 | 2022 |
| 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 | 5 | 2019 |
| 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 | 4 | 2022 |
| Deep active learning for multi-label classification of remote sensing images L Möllenbrok, G Sumbul, B Demir IEEE Geoscience and Remote Sensing Letters, 2023 | 2 | 2023 |
Begüm DemirProfessor, Faculty of Electrical Engineering and Computer Science, Technische Universität BerlinVerified email at tu-berlin.de
