Deep Active Learning for Multi-Label Classification of Remote Sensing Images

Lars Möllenbrok, Gencer Sumbul, Begüm Demir
IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2023.3305647, 2023.

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Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning

Gencer Sumbul, Begüm Demir
IEEE Transactions on Image Processing, vol. 32, pp. 4529-4542, 2023, doi: 10.1109/TIP.2023.3293776, 2023.

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TreeSatAI Benchmark Archive: a Multi-Sensor, Multi-Label Dataset for Tree Species Classification in Remote Sensing

Steve Ahlswede, Christian Schulz, Christiano Gava, Patrick Helber, Benjamin Bischke, Michael Förster, Florencia Arias, Jörn Hees, Begüm Demir, and Birgit Kleinschmit
Earth System Science Data, vol. 15, no. 2, pp. 681–695, 2023.

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LIT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing

Leonard Hackel*, Kai Norman Clasen*, Mahdyar Ravanbakhsh, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

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Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing

Gencer Sumbul, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

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Transformer-based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification

David Sebastian Hoffmann*, Kai Norman Clasen*, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

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Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning

Barış Büyüktaş, Gencer Sumbul, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

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HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods

Martin Hermann Paul Fuchs, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

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Active Learning Guided Fine-Tuning for Enhancing Self-Supervised Based Multi-Label Classification of Remote Sensing Images

Lars Möllenbrok, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

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Annotation Cost Efficient Active Learning for Remote Sensing Image Retrieval

Julia Henkel, Genc Hoxha, Gencer Sumbul, Lars Möllenbrok, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

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Leveraging Class Label Semantic Information for Zero-Shot Land Use Land Cover Scene Classification

Angelos Zavras, Ioannis Papoutsis, Dimitrios Michail, Christos Tryfonopoulos, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

BEN-GE: Extending BigEarthNet with Geographical and Environmental Data

Michael Mommert, Nicolas Kesseli, Joelle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Pasadena, California, 2023.

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Wayang AgoraEO Plugin: The Framework for Scalable EO Workflows

Rodrigo Pardo Meza, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir, and Volker Markl
EGU General Assembly, Vienna, Austria, 2023.

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Construction of Interactive Websites for Remote Sensing Datasets

Kai Norman Clasen and Begüm Demir
EGU General Assembly, Vienna, Austria, 2023.

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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, vol. 60, doi: 10.1109/TGRS.2022.3226371, 2022.

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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, vol. 60, 10.1109/TGRS.2022.3204914, 2022.

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Plasticity-Stability Preserving Multi-Task Learning for Remote Sensing Image Retrieval

Gencer Sumbul, Begüm Demir
IEEE Transactions on Geoscience and Remote Sensing, vol. 60, doi: 10.1109/TGRS.2022.3160097, 2022.

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Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification

Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Begüm Demir
IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2022.3209992, 2022.

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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, vol. 60, doi: 10.1109/TGRS.2021.3124326, 2022.

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ESA-ECMWF Report on Recent Progress and Research Directions in Machine Learning for Earth System Observation and Prediction

Rochelle Schneider, Massimo Bonavita, Alan Geer, Rossella Arcucci, Peter Dueben, Claudia Vitolo, Bertrand Le Saux, Begüm Demir, and Pierre-Philippe Mathieu
npj Climate and Atmospheric Science, vol. 5, no. 51, 2022.

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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.

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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.

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Satellite Image Search in AgoraEO

Ahmet Kerem Aksoy, Pavel Dushev, Eleni Tzirita Zacharatou, Holmer Hemsen, Marcela Charfuelan, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir, Volker Markl
International Conference on Very Large Databases, Sydney, Australia, Sept. 2022.

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A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-based Retrieval

Gencer Sumbul*, Jun Xiang*, Nimisha Madam and Begüm Demіr
IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.

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Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods

Steve Ahlswede, Nimisha Madam, Christian Schulz, Birgit Kleinschmit and Begüm Demіr
IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.

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A Novel Self-Supervised Cross-Modal Image Retrieval Method in Remote Sensing

Gencer Sumbul, Markus Müller, Begüm Demіr
IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.

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An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing

Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.

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Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning

Adina Zell, Gencer Sumbul and Begüm Demіr
IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.

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Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing

Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Singapore, 2022.

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Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives

Onat Vuran, Oguzhan Akcin, Mahdyar Ravanbakhsh, Bülent Sankur, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.

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Leveraging quality insights of OpenStreetMap-based land-use/land-cover multi-label modeling to the community

Moritz Schott, Adina Zell, Sven Lautenbach, Begüm Demir and Alexander Zipf
The State of the Map Conference, 2022.

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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.

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Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images

Subhankar Roy, Enver Sangineto, Begüm Demir and Nicu Sebe
IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 2, pp. 226-230, 2021.

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Unsupervised Remote Sensing Image Retrieval using Probabilistic Latent Semantic Hashing

Ruben Fernandez-Beltrán, Begüm Demir, Filiberto Pla and Antonio Plaza
IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 2, pp. 256-260, 2021.

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Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

Jian Kang, Danfeng Hong, Jialin Liu, Gearld Baier, Naoto Yokoya and Begüm Demir
IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 2, pp. 826-840, 2021.

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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, pp. 6922-6934, 2021.

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Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain

Akshara Preethy Byju, Gencer Sumbul, Begüm Demir and Lorenzo Bruzzone
IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 3458-3472, 2021.

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SiDroForest Siberian Drone-mapped Forest inventory

Femke van Geffen, Birgit Heim, Ulrike Herzschuh, Luidmila Pestryakova, Evgenii Zakharov, Ronny Hänsch, Begüm Demir, Birgit Kleinschmit, Michael Förster, and Stefan Kruse
EGU General Assembly, 2021.

A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels

Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir
IEEE International Conference on Image Processing, Anchorage, Alaska, USA, 2021.

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RSVQA Meets BigEarthNet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing

Sylvain Lobry, Begüm Demir, Devis Tuia
IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.

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Agora-EO: A Unified Ecosystem for Earth Observation - A Vision for Boosting EO Data Literacy

Arne de Wall, Björn Deiseroth, Eleni Tzirita Zacharatou, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir and Volker Markl
Big Data from Space Conference, 2021.

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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, Brussels, Belgium, 2021.

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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.

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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.

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A Progressive Content Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives

Akshara Preethy Byju, Begüm Demir and Lorenzo Bruzzone
IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 8, pp. 5739-5751, 2020.

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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.

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Band-Wise Multi-Scale CNN Architecture for Remote Sensing Image Scene Classification

Jian Kang, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, pp. 1687-1690, 2020.

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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, Waikoloa, HI, USA, pp. 2515-2518, 2020.

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An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks

Kexin Zhang, Gencer Sumbul, Begüm Demir
Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), 2020.

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A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification

Hichame Yessou, Gencer Sumbul, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, pp. 1349-1352, 2020.

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A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data

Hoang Minh Nguyen, Begüm Demir, Michele Dalponte
MDPI Remote Sensing, vol. 11, no. 24, pp. 2948, 2019.

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Capsule Networks for Object Detection in UAV Imagery

Mohamed Lamine Mekhalfi, Mesay Belete Bejiga, Davide Soresina, Farid Melgani and Begüm Demir
MDPI Remote Sensing, 11(14):1694, 2019.

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An Unsupervised Multicode Hashing Method for Accurate and Scalable Remote Sensing Image Retrieval

Thomas Reato, Begüm Demir and Lorenzo Bruzzone
IEEE Geoscience and Remote Sensing Letters, 16(2):276-280, 2019.

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A Novel Data Fusion Technique for Snow Cover Retrieval

Ludovica De Gregorio, Mattia Callegari, Carlo Marin, Marc Zebisch, Lorenzo Bruzzone, Begüm Demir, Ulrich Strasser, Thomas Marke, Daniel Günther, R. Nadalet and Claudia Notarnicola
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(8):2862-2877, 2019.

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Retrieving Images with Generated Textual Descriptions

Genc Hoxha, Farid Melgani, Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, pp.5812-5815, 2019.

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Approximating JPEG 2000 wavelet representation through deep neural networks for remote sensing image scene classification

Akshara Preethy Byju and Gencer Sumbul and Begüm Demir and Lorenzo Bruzzone
SPIE Image and Signal Processing for Remote Sensing, 111550S, 2019.

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Weighted Support Vector Machines for Tree Species Classification using Lidar Data

Hoang Minh Nguyen and Begüm Demir and Michele Dalponte
IEEE International Geoscience and Remote Sensing Symposium, 6740-6743, 2019.

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A Novel Multi-Attention Driven System for Multi-Label Remote Sensing Image Classification

Gencer Sümbül and Begüm Demir
IEEE International Geoscience and Remote Sensing Symposium, 5726-5729, 2019.

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BigEarthNet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding

Gencer Sümbül and Marcela Charfuelan and Begüm Demir and Volker Markl
IEEE International Geoscience and Remote Sensing Symposium, 5901-5904, 2019.

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Multiple Kernel Learning for Remote Sensing Image Classification

Saeid Niazmardi and Begüm Demir and Lorenzo Bruzzone and Abdolreza Safari and Saeid Homayouni
IEEE Trans. Geoscience and Remote Sensing, 1425–1443, 2018.

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Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method

Bindita Chaudhuri and Begüm Demir and Subhasis Chaudhuri and Lorenzo Bruzzone
IEEE Trans. Geoscience and Remote Sensing, 1144–1158, 2018.

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A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images

Osman Emre Dai and Begüm Demir and Bülent Sankur and Lorenzo Bruzzone
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2473-2490, 2018.

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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.

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A Novel Active Learning Technique for Multi-Label Remote Sensing Image Scene Classification

Bayable Teshome Zegeye and Begüm Demir
SPIE Image and Signal Processing for Remote Sensing, 10789 - 10789 - 8, 2018.

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Integration of Remote Sensing with A Hydroclimatological Model for an Improved Monitoring of Alpine Glaciers

Mattia Callegari and Carlo Marin and Daniel Günther and Philipp Rastner and Lorenzo Bruzzone and Begüm Demir and Thomas Marke and Ulrich Strasser and Marc Zebisch and Claudia Notarnicola
International Conference on Geoscience and Remote Sensing Symposium, 6239-6242, 2018.

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A Novel Data Fusion Technique for Snow Parameter Retrieval

Ludovica Gregorio and Mattia Callegari and Carlo Marin and Marc Zebisch and Lorenzo Bruzzone and Begüm Demir and Ulrich Strasser and Daniel Günther and Thomas Marke and Claudia Notarnicola
International Conference on Geoscience and Remote Sensing Symposium, 6247-6250, 2018.

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Advanced Local Binary Patterns for Remote Sensing Image Retrieval

Issayas Tekeste and Begüm Demir
International Conference on Geoscience and Remote Sensing Symposium, 6855-6858, 2018.

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Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images

Subhankar Roy and Enver Sangineto and Begüm Demir and Nicu Sebe
International Geoscience and Remote Sensing Symposium, 4539-4542, 2018.

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A Novel Coarse-to-Fine Remote Sensing Image Retrieval System in JPEG-2000 Compressed Domain

Begüm Demir and Akshara Preethy Byju and Lorenzo Bruzzone
SPIE Image and Signal Processing for Remote Sensing, 30, 2018.

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Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification

Subhankar Roy and Enver Sangineto and Nicu Sebe and Begüm Demir
International Conference in Image Processing, 684-688, 2018.

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