[HTML][HTML] Geometrical approximated principal component analysis for hyperspectral image analysis
Principal Component Analysis (PCA) is a method based on statistics and linear algebra
techniques, used in hyperspectral satellite imagery for data dimensionality reduction required in …
techniques, used in hyperspectral satellite imagery for data dimensionality reduction required in …
Sentinel-2 change detection based on deep features
A Pomente, M Picchiani…�- IGARSS 2018-2018 IEEE�…, 2018 - ieeexplore.ieee.org
In this manuscript, we address the problem of change detection for Sentinel-2 data. The
proposed method is based on deep features representation. First, multilevel convolutional …
proposed method is based on deep features representation. First, multilevel convolutional …
[HTML][HTML] Did the September 2010 (Darfield) earthquake trigger the February 2011 (Christchurch) event?
We have investigated the possible cause-and-effect relationship due to stress transfer between
two earthquakes that occurred near Christchurch, New Zealand, in September 2010 and …
two earthquakes that occurred near Christchurch, New Zealand, in September 2010 and …
[HTML][HTML] Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case
I Petracca, D De Santis, M Picchiani…�- Atmospheric�…, 2022 - amt.copernicus.org
Accurate automatic volcanic cloud detection by means of satellite data is a challenging task
and is of great concern for both the scientific community and aviation stakeholders due to …
and is of great concern for both the scientific community and aviation stakeholders due to …
Neural network multispectral satellite images classification of volcanic ash plumes in a cloudy scenario
M Picchiani, M Chini, S Corradini…�- Annals of�…, 2014 - annalsofgeophysics.eu
This work shows the potential use of neural networks in the characterization of eruptive events
monitored by satellite, through fast and automatic classification of multispectral images. …
monitored by satellite, through fast and automatic classification of multispectral images. …
Seismic source quantitative parameters retrieval from InSAR data and neural networks
S Stramondo, F Del Frate, M Picchiani…�- IEEE Transactions on�…, 2010 - ieeexplore.ieee.org
The basic idea of this paper relies on the concurrent exploitation of the capabilities of neural
networks (NNs) and SAR interferometry (InSAR) for the characterization of a seismic source …
networks (NNs) and SAR interferometry (InSAR) for the characterization of a seismic source …
Volcanic Ash and SO2 retrievals using synthetic MODIS TIR data: Comparison between inversion procedures and sensitivity analysis
…, L Guerrieri, L Merucci, M Picchiani…�- Annals of�…, 2014 - annalsofgeophysics.eu
In this work the volcanic ash and SO2 retrievals obtained by applying three different
procedures (LUT-Look Up Table, NN-Neural Network and VPR-Volcanic Plume Removal) on …
procedures (LUT-Look Up Table, NN-Neural Network and VPR-Volcanic Plume Removal) on …
[HTML][HTML] Features extraction from SAR interferograms for tectonic applications
M Picchiani, F Del Frate, G Schiavon…�- EURASIP Journal on�…, 2012 - Springer
In this article, a new technique for features extraction from SAR interferograms is presented.
The technique combines the properties of auto-associative neural networks with those of …
The technique combines the properties of auto-associative neural networks with those of …
Volcanic SO2 near-real time retrieval using TROPOMI data and neural networks: The December 2018 Etna test case
…, S Corradini, L Guerrieri, M Picchiani…�- …�and Remote Sensing�…, 2021 - ieeexplore.ieee.org
During a volcanic eruption, large quantities of Sulphur dioxide (SO2) are sometimes emitted
into the atmosphere. Rapid detection and tracking ofvolcanic SO2 clouds might be …
into the atmosphere. Rapid detection and tracking ofvolcanic SO2 clouds might be …
Neural Networks for automatic seismic source analysis from DInSAR data
M Picchiani, F Del Frate, G Schiavon…�- …�, and Techniques XI, 2011 - spiedigitallibrary.org
Satellite SAR Interferometry (InSAR) has already proved its effectiveness in the analysis of
seismic events. In fact, measuring the surface displacement field generated by an earthquake …
seismic events. In fact, measuring the surface displacement field generated by an earthquake …