Daniele Latini
Orcid: 0000-0001-5033-7830
According to our database1,
Daniele Latini
authored at least 24 papers
between 2010 and 2023.
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Bibliography
2023
AgriAdapt: Towards Resource-Efficient UAV Weed Detection using Adaptable Deep Learning.
Proceedings of the 2nd Workshop on Networked Sensing Systems for a Sustainable Society, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Use of Unmanned Aerial System for the Characterization of the Surface Reflectance Distribution Function.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
A Concurrent Approach for Infrastructure Monitoring and Risks Prevention Using Space, Aerial and Ground Measurements.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2021
A New User Oriented Platform to Develop AI for the Estimation of Bio-Geophysical Parameters from EO Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Integration of IEM_B, ISMN and Sar Sentinel-1 Data for Accurate Soil Moisture Estimation Using Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Towards an Integrate Solution Fusing Satellite and In-Situ Measurements for a Full-Assessment of Transport Infrastructures.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Remote. Sens., 2020
IEEE Geosci. Remote. Sens. Lett., 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
COSMO-SkyMed for Unsupervised Urban Change Detection using Radar Backscattering and Interferometric Coherence.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2017
Proceedings of the Joint Urban Remote Sensing Event, 2017
On neural networks algorithms for oil spill detection when applied to C- and X-band SAR.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2014
Fully Automatic Dark-Spot Detection From SAR Imagery With the Combination of Nonadaptive Weibull Multiplicative Model and Pulse-Coupled Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2014
Oil spill analysis by means of full polarimetric UAVSAR (L-band) and Radarsat-2 (C-band) products acquired during Deepwater Horizon Disaster.
Proceedings of the SAR Image Analysis, 2014
A neural network architecture combining VHR SAR and multispectral data for precision farming in viticulture.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
A novel multi-band SAR data technique for fully automatic oil spill detection in the ocean.
Proceedings of the SAR Image Analysis, 2013
2012
Proceedings of the SAR Image Analysis, 2012
Fully automatic oil spill detection from COSMO-SkyMed imagery using a neural network approach.
Proceedings of the SAR Image Analysis, 2012
Coastline extraction from SAR COSMO-SkyMed data using a new neural network algorithm.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Proceedings of the SAR Image Analysis, 2011
2010
Automatic object extraction from VHR satellite SAR images using pulse coupled neural networks.
Proceedings of the SAR Image Analysis, 2010