Publications

2021

Hua, Yuansheng; Mou, Lichao; Lin, Jianzhe; Heidler, Konrad; Zhu, Xiao Xiang

Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks Journal Article

ISPRS Journal of Photogrammetry and Remote Sensing, 2021.

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Klemmer, Konstantin; Saha, Sudipan; Kahl, Matthias; Xu, Tianlin; Zhu, Xiao Xiang

Generative modeling of spatio-temporal weather patterns with extreme event conditioning Inproceedings

AI: Modeling Oceans and Climate Change (AIMOCC 2021) Workshop, ICLR 2021, 2021.

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Perko, Roland; Klopschitz, Manfred; Almer, Alexander; Roth, Peter M

Critical Aspects of Person Couting and Density Estimation Journal Article

Journal of Imaging, 7 (2), pp. 21, 2021.

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Basirat, Mina; Roth, Peter M

S*ReLU: Learning Piecewise Linear Activation Functions via ParticleSwarm Optimization Inproceedings

International Conf. on Computer Vision Theory and Applications, 2021.

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Editors:Camps-Valls, Gustau; Tuia, Devis; Zhu, Xiao Xiang; Reichstein, Markus

Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences Book

Wiley & Sons, 2021, ISBN: 978-1-119-64614-3.

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Mou, Lichao; Saha, Sudipan; Hua, Yuansheng; Bovolo, Francesca; Bruzzone, Lorenzo; Zhu, Xiao Xiang

Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification Journal Article

IEEE Transactions on Geoscience and Remote Sensing, 2021.

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Saha, Sudipan; Banerjee, Biplab; Zhu, Xiao Xiang

Trusting Small Training Dataset for Supervised Change Detection Conference

IEEE Geoscience and Remote Sensing Symposium 2021 (Accepted), IEEE, 2021.

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Prexl, Jonathan; Saha, Sudipan; Zhu, Xiao Xiang

Mitigating Spatial and Spectral Differences for Change Detection using Super-resolution and Unsupervised learning Conference

IEEE Geoscience and Remote Sensing Symposium 2021 (Accepted), IEEE, 2021.

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Gawlikowski, Jakob; Saha, Sudipan; Kruspe, Anna; Zhu, Xiao Xiang

Towards Out-of-distribution Detection for Remote Sensing Conference

IEEE Geoscience and Remote Sensing Symposium 2021 (Accepted), IEEE, 2021.

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Saha, Sudipan; Kondmann, Lukas; Zhu, Xiao Xiang

Deep No Learning Approach for Unsupervised Change Detection in Hyperspectral Images Conference

XXIV ISPRS Congress 2021, 2021.

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Ebel, Patrick; Saha, Sudipan; Zhu, Xiao Xiang

Fusing Multi-modal Data for Supervised Change Detection Conference

XXIV ISPRS Congress 2021, 2021.

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Nandy, Jay; Saha, Sudipan; Hsu, Wynne; Lee, Mong Li; Zhu, Xiao Xiang

Covariate Shift Adaptation for Adversarially Robust Classifier Conference

ICLR 2021 Workshop on Security and Safety in Machine Learning Systems, 2021.

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Gawlikowski, Jakob; Saha, Sudipan; Kruspe, Anna; Zhu, Xiao Xiang

Out-of-distribution Detection in Satellite Image Classification Conference

RobustML workshop at ICLR 2021, 2021.

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Kochupillai, Mrinalini; Gallersdörfer, Ulrich; Köninger, Julia; Beck, Roman

Incentivizing research & innovation with agrobiodiversity conserved in situ: Possibilities and limitations of a blockchain-based solution Journal Article

Journal of Cleaner Production, 309 , pp. 127155, 2021, ISSN: 0959-6526.

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Kochupillai, M

Creating a Digital Marketplace for Agrobiodiversity and Plant Genetic Sequence Data: Legal and Ethical Considerations of an AI and Blackchain Based Solution, Conference paper, Towards Responsible Plant Data Linkage: Global Challenges for Food Security and Governance, Alan Turing Institute and University of Exeter, March 2021 (forthcoming in an edited volume with Springer Nature) Conference

2021.

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Saha, Sudipan; Ebel, Patrick; Zhu, Xiao Xiang

Self-supervised multisensor change detection Journal Article

IEEE Transactions on Geoscience and Remote Sensing, 2021.

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Saha, Sudipan; Ahmad, Tahir

Federated transfer learning: Concept and applications Journal Article

Intelligenza Artificiale, 15 (1), pp. 35–44, 2021.

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Kochupillai, M

Outline of a Novel Approach for Indentifying Ethical Issues in Early Stages of AI4EO Research,Conference paper for the IEEE’s International Geoscience and Remote Sensing Symposium (IGARSS) Conference

2021.

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Hua, Y; Mou, L; Jin, P; Zhu, X X

MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images Journal Article

IEEE Transactions on Geoscience and Remote Sensing, 2021.

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2020

Mou, Lichao; Hua, Yuansheng; Jin, Pu; Zhu, Xiao Xiang

ERA: A dataset and deep learning benchmark for event recognition in aerial videos Journal Article

IEEE Geoscience and Remote Sensing Magazine, 2020, (in press).

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Mou, Lichao; Hua, Yuansheng; Zhu, Xiao Xiang

Relation matters: Relational context-aware fully convolutional network for semantic segmentation of high resolution aerial images Journal Article

IEEE Transactions on Geoscience and Remote Sensing, 2020, (in press).

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Hua, Yuansheng; Mou, Lichao; Zhu, Xiao Xiang

Relation network for multilabel aerial image classification Journal Article

IEEE Transactions on Geoscience and Remote Sensing, 58 (7), pp. 4558-4572, 2020.

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Rußwurm, Marc; Ali, Mohsin; Zhu, Xiaoxiang; Gal, Yarin; Körner, Marco

Model and Data Uncertainty for Satellite Time Series Forecasting with Deep Recurrent Models Inproceedings

IGARSS 2020 IEEE International Geoscience and Remote Sensing Symposium, IEEE 2020.

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Kochupillai, Mrinalini; Lütge, Christoph; Poszler, Franziska

Programming Away Human Rights and Responsibilities?“The Moral Machine Experiment” and the Need for a More “Humane” AV Future Journal Article

NanoEthics, 14 (3), pp. 285-299, 2020, ISSN: 1871-4765.

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Brinkmann, Johannes; Kochupillai, Mrinalini

Law, Business, and Legitimacy Book Chapter

pp. 489-507, 2020, ISSN: 3030146219.

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Our project is done in close collaboration with the Technical University of Munich. In particular with the TUM Data Science in Earth Observation (Sipeo) group. The complete list of associated publications might be also interesting for you and is available here.

Artificial Intelligence for Earth Observation