Accurate and Scalable Processing of Big Data in Earth Observation

Note: This publication list includes only BigEarth-related publications. For the full list, please see. PDFs given in this web page are the authors' draft versions of the related papers. For the whole list of the software developed and maintained at our group, please visit here.


On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification
Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir
IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3226371, 2022.

Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images
Tom-Lukas Breitkopf*, Leonard Hackel*, Mahdyar Ravanbakhsh, Anne-Karin Cooke, Sandra Willkommen, Stefan Broda, Begüm Demir
SPIE Image and Signal Processing for Remote Sensing, Berlin, 2022.

Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing
Tim Siebert*, Kai Norman Clasen*, Mahdyar Ravanbakhsh, Begüm Demir
SPIE Image and Signal Processing for Remote Sensing, Berlin, 2022.

Towards Simultaneous Image Compression and Indexing for Scalable Content-Based Retrieval in Remote Sensing
Gencer Sumbul, Jun Xiang, Begüm Demir
IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2022.3204914, 2022.

Plasticity-Stability Preserving Multi-Task Learning for Remote Sensing Image Retrieval
Gencer Sumbul, Mahdyar Ravanbakhsh, Begüm Demir
IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3160097, 2022.

Multi-Label Noise Robust Collaborative Learning Model for Remote Sensing Image Classification
Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Begüm Demir
IEEE Transactions on Neural Networks and Learning Systems, in minor revision, doi:10.1109/TNNLS.2022.3209992, 2022.

A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-based Retrieval
Jun Xiang, Gencer Sumbul, Nimisha Madam and Begüm Demіr
IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.

Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing
Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Singapore, 2022.

Informative and Representative Triplet Selection for Multi-Label Remote Sensing Image Retrieval
Gencer Sumbul, Mahdyar Ravanbakhsh, Begüm Demir
IEEE Transactions on Geoscience and Remote Sensing, in press, 2021.

BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
Gencer Sumbul, Arne de Wall, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mário Caetano, Begüm Demir, Volker Markl
IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 3, pp. 174-180, Sept. 2021.

A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval
Gencer Sumbul, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, 2021.

Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives
Gencer Sumbul, Jian Kang, Begüm Demir,
Deep learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences, John Wiley & Sons, ISBN: 978-1-119-64614-3, 2021.

SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning
Gencer Sumbul, Sonali Nayak, Begüm Demir
IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 8, 2021.

Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain
Akshara Preethy Byju, Gencer Sumbul, Begüm Demir, Lorenzo Bruzzone
IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 3458-3472, 2021.

Unsupervised Remote Sensing Image Retrieval using Probabilistic Latent Semantic Hashing
Ruben Fernandez-Beltran, Begüm Demir, Filiberto Pla, Antonio Plaza
IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 2, pp. 256-260, 2021.

Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images
Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe
IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 2, pp. 226-230, 2021.

S2-cGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images
Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, pp. 2515-2518, Hawaii, USA, 2020.

Toward Remote Sensing Image Retrieval under a Deep Image Captioning Perspective
Genc Hoxha, Farid Melgani, Begüm Demir
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 4462-4475, 2020.

A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification
Gencer Sumbul, Begüm Demir
IEEE Access, vol. 8, pp. 95934-95946, 2020.

A Progressive Content Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives
Akshara Preethy Byju, Begüm Demir, Lorenzo Bruzzone
IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 8, pp. 5739-5751, 2020.

An Approach to Super-Resolution of Sentinel-2 Images based on Generative Adversarial Networks
Kexin Zhang, Gencer Sumbul, Begüm Demir
IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, Tunis, Tunisia, 2020.

BigEarthNet: A large-scale benchmark archive for remote sensing image understanding
Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl
IEEE International Geoscience and Remote Sensing Symposium, pp. 5901-5904, Yokohama, Japan, 2019.

A Novel Multi-Attention Driven System for Multi-Label Remote Sensing Image Classification
Gencer Sumbul, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019.

From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data
Konstantina Bereta, Manolis Koubarakis, Stefan Manegold, George Stamoulis, Begüm Demir
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018.

An Unsupervised Multicode Hashing Method for Accurate and Scalable Remote Sensing Image Retrieval
Thomas Reato, Begüm Demir, Lorenzo Bruzzone
IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 2, pp. 276- 280, Feb 2019.

A Novel System for Content based Retrieval of Single and Multi-Label High Dimensional Remote Sensing Images
Osman Emre Dai, Begüm Demir, Bülent Sankur, Lorenzo Bruzzone
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 7, pp. 2473 - 2490, July 2018.

Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images
Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe
IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018.

Semantic-Fusion GANs for Semi-Supervised Satellite Image Classification
Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe
IEEE International Conference on Image Processing, Athens, Greece, 2018.

Advanced Local Binary Patterns for Remote Sensing Image Retrieval
Issayas Tekeste Mirach, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018.

A Novel Active Learning Technique for Multilabel Remote Sensing Image Scene Classification
Bayable Teshome Zegeye, Begüm Demir
SPIE Image and Signal Processing for Remote Sensing, Berlin, 2018.

A Novel Coarse-to-Fine Remote Sensing Image Retrieval System in JPEG-2000 Compressed Domain
Akshara Preethy Byju, Begüm Demir, Lorenzo Bruzzone
SPIE Image and Signal Processing for Remote Sensing, Berlin, 2018.