Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature N Yokoya, C Grohnfeldt, J Chanussot IEEE Geoscience and Remote Sensing Magazine 5 (2), 29-56, 2017 | 571 | 2017 |
A conditional generative adversarial network to fuse SAR and multispectral optical data for cloud removal from Sentinel-2 images C Grohnfeldt, M Schmitt, XX Zhu 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 | 135 | 2018 |
Exploiting joint sparsity for pansharpening: The J-SparseFI algorithm XX Zhu, C Grohnfeldt, R Bamler IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2664-2681, 2015 | 117 | 2015 |
Jointly sparse fusion of hyperspectral and multispectral imagery C Grohnfeldt, XX Zhu, R Bamler 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 4090 …, 2013 | 63 | 2013 |
Multi-sensor data fusion for multi-and hyperspectral resolution enhancement based on sparse representations CH Grohnfeldt Technische Universität München, 2017 | 11 | 2017 |
Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments at Scale M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ... arXiv preprint arXiv:2206.13230, 2022 | 9 | 2022 |
Towards a combined sparse representation and unmixing based hybrid hyperspectral resolution enhancement method C Grohnfeldt, XX Zhu 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 6 | 2015 |
Splitting the hyperspectral-multispectral image fusion problem autonomously into weighted pan-sharpening tasks—The spectral grouping concept C Grohnfeldt, XX Zhu, R Bamler 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015 | 6 | 2015 |
Splitting the hyperspectral-multispectral image fusion problem autonomously into weighted pan-sharpening tasks—The spectral grouping concept C Grohnfeldt, XX Zhu, R Bamler 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015 | 6 | 2015 |
The J-SparseFI-HM hyperspectral resolution enhancement method—Now fully automated C Grohnfeldt, XX Zhu, R Bamler 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014 | 6 | 2014 |
2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance A Cavallo, C Grohnfeldt, M Russo, G Lovisotto, L Vassio arXiv preprint arXiv:2212.13202, 2022 | 5 | 2022 |
Jointly Sparse Fusion of Hyperspectral and Multispectral Imagery-The J-SparseFI-HM Algorithm C Grohnfeldt, XX Zhu IEEE Trans. Geosci. Remote Sens., 2015 | 5 | 2015 |
Collaborative sparse reconstruction for pan-sharpening XX Zhu, C Grohnfeldt, R Bamler 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 868-871, 2013 | 5 | 2013 |
Dynamic dictionary learning strategies for sparse representation based hyperspectral image enhancement C Grohnfeldt, TM Burns, XX Zhu 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015 | 3 | 2015 |
Collabrative sparse image fusion with application to pan-sharpening XX Zhu, C Grohnfeldt, R Bamler 2013 18th International Conference on Digital Signal Processing (DSP), 1-6, 2013 | 3 | 2013 |
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs A Cavallo, C Grohnfeldt, M Russo, G Lovisotto, L Vassio 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 2 | 2023 |
Performance Assessment of the State-of-the-art Hyperspectral Image Enhancement Methods C Grohnfeldt, XX Zhu, R Bamler Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, 2014 | 1 | 2014 |
EFACTLS: Effective Active TLS Fingerprinting for Large-scale Server Deployment Characterization M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ... IEEE Transactions on Network and Service Management, 2024 | | 2024 |
Continuous-Time Temporal Graph Learning on Provenance Graphs J Reha, G Lovisotto, M Russo, A Gravina, C Grohnfeldt 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1131-1140, 2023 | | 2023 |
Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs A Gravina, G Lovisotto, C Gallicchio, D Bacciu, C Grohnfeldt Temporal Graph Learning Workshop@ NeurIPS 2023, 2023 | | 2023 |