| Automatic framework for spectral–spatial classification based on supervised feature extraction and morphological attribute profiles P Ghamisi, JA Benediktsson, G Cavallaro, A Plaza IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 116 | 2014 |
| On understanding big data impacts in remotely sensed image classification using support vector machine methods G Cavallaro, M Riedel, M Richerzhagen, JA Benediktsson, A Plaza IEEE journal of selected topics in applied earth observations and remote …, 2015 | 107 | 2015 |
| Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images G Cavallaro, M Dalla Mura, JA Benediktsson, L Bruzzone IEEE, 2015 | 40 | 2015 |
| Automatic attribute profiles G Cavallaro, N Falco, M Dalla Mura, JA Benediktsson IEEE transactions on image processing 26 (4), 1859-1872, 2017 | 38 | 2017 |
| Remote sensing image classification using attribute filters defined over the tree of shapes G Cavallaro, M Dalla Mura, JA Benediktsson, A Plaza IEEE Transactions on Geoscience and Remote Sensing 54 (7), 3899-3911, 2016 | 33 | 2016 |
| Remote sensing big data classification with high performance distributed deep learning R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, JA Benediktsson Remote sensing 11 (24), 3056, 2019 | 25 | 2019 |
| Approaching remote sensing image classification with ensembles of support vector machines on the d-wave quantum annealer G Cavallaro, D Willsch, M Willsch, K Michielsen, M Riedel IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 21 | 2020 |
| Cloud deep networks for hyperspectral image analysis JM Haut, JA Gallardo, ME Paoletti, G Cavallaro, J Plaza, A Plaza, ... IEEE transactions on geoscience and remote sensing 57 (12), 9832-9848, 2019 | 20 | 2019 |
| The influence of sampling methods on pixel-wise hyperspectral image classification with 3D convolutional neural networks J Lange, G Cavallaro, M Götz, E Erlingsson, M Riedel IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 20 | 2018 |
| Smart data analytics methods for remote sensing applications G Cavallaro, M Riedel, JA Benediktsson, M Goetz, T Runarsson, ... 2014 IEEE geoscience and remote sensing symposium, 1405-1408, 2014 | 18 | 2014 |
| Parallel computation of component trees on distributed memory machines M Götz, G Cavallaro, T Géraud, M Book, M Riedel IEEE transactions on parallel and distributed systems 29 (11), 2582-2598, 2018 | 17 | 2018 |
| On scalable data mining techniques for earth science M Götz, M Richerzhagen, C Bodenstein, G Cavallaro, P Glock, M Riedel, ... Procedia computer science 51, 2188-2197, 2015 | 17 | 2015 |
| A comparison of self-dual attribute profiles based on different filter rules for classification G Cavallaro, M Dalla Mura, JA Benediktsson, L Bruzzone 2014 IEEE Geoscience and Remote Sensing Symposium, 1265-1268, 2014 | 15 | 2014 |
| Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classification JA Benediktsson, G Cavallaro, N Falco, I Hedhli, VA Krylov, G Moser, ... Mathematical Models for Remote Sensing Image Processing, 277-323, 2018 | 14 | 2018 |
| Automatic threshold selection for profiles of attribute filters based on granulometric characteristic functions G Cavallaro, N Falco, MD Mura, L Bruzzone, JA Benediktsson International Symposium on Mathematical Morphology and Its Applications to …, 2015 | 13 | 2015 |
| Super-resolution of large volumes of Sentinel-2 images with high performance distributed deep learning R Zhang, G Cavallaro, J Jitsev IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 9 | 2020 |
| Scalable developments for big data analytics in remote sensing G Cavallaro, M Riedel, C Bodenstein, P Glock, M Richerzhagen, M Götz, ... 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 9 | 2015 |
| Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification A Delilbasic, G Cavallaro, M Willsch, F Melgani, M Riedel, K Michielsen 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2608 …, 2021 | 8 | 2021 |
| Unsupervised change detection analysis to multi-channel scenario based on morphological contextual analysis N Falco, G Cavallaro, PR Marpu, JA Benediktsson 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 7 | 2016 |
| Scaling up a Multispectral RESNET-50 to 128 GPUs R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, M Book IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 6 | 2020 |
Prof. Dr.-Ing. Morris RiedelProfessor of High Performance Computing & Machine Learning, Forschungszentrum Juelich & UoIcelandVerified email at fz-juelich.de
