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Alessandro Sebastianelli
Alessandro Sebastianelli
Research Fellow at ESA / ESRIN Φ-lab
在 unisannio.it 的电子邮件经过验证 - 首页
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引用次数
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A new mask R-CNN-based method for improved landslide detection
SL Ullo, A Mohan, A Sebastianelli, SE Ahamed, B Kumar, R Dwivedi, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
972021
On circuit-based hybrid quantum neural networks for remote sensing imagery classification
A Sebastianelli, DA Zaidenberg, D Spiller, B Le Saux, SL Ullo
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
892021
On-board volcanic eruption detection through cnns and satellite multispectral imagery
MP Del Rosso, A Sebastianelli, D Spiller, PP Mathieu, SL Ullo
Remote Sensing 13 (17), 3479, 2021
432021
Landslide geohazard assessment with convolutional neural networks using sentinel-2 imagery data
SL Ullo, MS Langenkamp, TP Oikarinen, MP Del Rosso, A Sebastianelli, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
342019
Advantages and bottlenecks of quantum machine learning for remote sensing
DA Zaidenberg, A Sebastianelli, D Spiller, B Le Saux, SL Ullo
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 5680 …, 2021
332021
PLFM: Pixel-level merging of intermediate feature maps by disentangling and fusing spatial and temporal data for cloud removal
A Sebastianelli, E Puglisi, MP Del Rosso, J Mifdal, A Nowakowski, ...
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022
30*2022
Automatic dataset builder for Machine Learning applications to satellite imagery
A Sebastianelli, MP Del Rosso, SL Ullo
SoftwareX 15, 100739, 2021
212021
A speckle filter for Sentinel-1 SAR ground range detected data based on residual convolutional neural networks
A Sebastianelli, MP Del Rosso, SL Ullo, P Gamba
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
17*2022
Artificial intelligence applied to satellite-based remote sensing data for earth observation
MP Del Rosso, A Sebastianelli, SL Ullo
Institution of Engineering and Technology, 2021
152021
Airsense-to-act: A concept paper for covid-19 countermeasures based on artificial intelligence algorithms and multi-source data processing
A Sebastianelli, F Mauro, G Di Cosmo, F Passarini, M Carminati, SL Ullo
ISPRS International Journal of Geo-Information 10 (1), 34, 2021
142021
Application of DInSAR technique to high coherence satellite images for strategic infrastructure monitoring
T De Corso, L Mignone, A Sebastianelli, MP del Rosso, C Yost, E Ciampa, ...
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
122020
A Deep Q-Learning based approach applied to the Snake game
A Sebastianelli, M Tipaldi, SL Ullo, L Glielmo
2021 29th Mediterranean Conference on Control and Automation (MED), 348-353, 2021
112021
Paradigm selection for data fusion of sar and multispectral sentinel data applied to land-cover classification
A Sebastianelli, MP Del Rosso, PP Mathieu, SL Ullo
arXiv preprint arXiv:2106.11056, 2021
82021
X-and C-band SAR data to monitoring ground deformations and slow-moving landslides for the 2016 Manta and Portoviejo earthquake (Manabi, Ecuador)
D Di Martire, P Confuorto, A Frezza, M Ramondini, AV Lòpez, ...
2018 IEEE international conference on environmental engineering (EE), 1-6, 2018
82018
A demo setup testing onboard CNNs for Volcanic Eruption Detection
MP Del Rosso, A Sebastianelli, D Spiller, SL Ullo
2022 IEEE International Conference on Metrology for Extended Reality …, 2022
62022
Early detection of volcanic eruption through artificial intelligence on board
P Di Stasio, A Sebastianelli, G Meoni, SL Ullo
2022 IEEE International Conference on Metrology for Extended Reality …, 2022
62022
SAR interferometry with open Sentinel-1 data for environmental measurements: the case of Ischia earthquake
SL Ullo, CV Angelino, L Cicala, N Fiscante, P Addabbo, MP Del Rosso, ...
2018 IEEE international conference on environmental engineering (EE), 1-8, 2018
62018
A reproducible ensemble machine learning approach to forecast dengue outbreaks
A Sebastianelli, D Spiller, R Carmo, J Wheeler, A Nowakowski, ...
Scientific Reports 14 (1), 3807, 2024
52024
Deep unfolding for hypersharpening using a high-frequency injection module
M Tomás-Cruz, A Sebastianelli, B Coll, J Duran, J Mifdal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
5*2023
Climate-based ensemble machine learning model to forecast Dengue epidemics (papers track)
R Schneider, A Sebastianelli, D Spiller, J Wheeler, R Carmo, ...
Thirty-eighth International Conference on Machine Learning (ICML) 2021, 2021
5*2021
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