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Scientific Reports, ISSN 2045-2322, 2011, Volume 1, Issue 1, p. 98
We have investigated the possible cause-and-effect relationship due to stress transfer between two earthquakes that occurred near Christchurch, New Zealand, in... 
PLATE MOTIONS | NEW-ZEALAND | CALIFORNIA | RADAR INTERFEROMETRY | MULTIDISCIPLINARY SCIENCES | STATIC STRESS | SEQUENCE | FAULT | INVERSION | DEFORMATION | LANDER EARTHQUAKE | New Zealand | Earthquakes | Rupture
Journal Article
Annals of Geophysics, ISSN 1593-5213, 2014, Volume 57, Issue 2
This work shows the potential use of neural networks in the characterization of eruptive events monitored by satellite, through fast and automatic... 
Volcanic ash detection | Neural networks | BTD | GEOCHEMISTRY & GEOPHYSICS | MODIS DATA | Neural Networks, Volcanic Ash detection, BTD
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 10/2016, Volume 10003, pp. 1000304 - 1000304-6
The development of SAR technology during the last decade has made it possible to collect a huge amount of data over many regions of the world. In particular,... 
automatic classification | features extraction | VHR SAR | neural networks
Conference Proceeding
EURASIP Journal on Advances in Signal Processing, ISSN 1687-6172, 07/2012, Volume 2012, p. 1
  In this article, a new technique for features extraction from SAR interferograms is presented. The technique combines the properties of auto-associative... 
Journal Article
Annals of Geophysics, ISSN 1593-5213, 02/2015, Volume 57
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... 
Journal Article
Proceedings of SPIE, ISSN 0277-786X, 11/2011, Volume 8179, Issue 1, pp. 81790K - 81790K-7
Satellite SAR Interferometry (InSAR) has already proved its effectiveness in the analysis of seismic events. In fact, measuring the surface displacement field... 
InSAR | Neural Networks | seismic events | inversion problems | Faults | Computer simulation | Neural networks | Seismic engineering | Inversions | Mathematical models | Seismic phenomena | Synthetic aperture radar
Conference Proceeding
EURASIP Journal on Advances in Signal Processing, ISSN 1687-6180, 12/2012, Volume 2012, Issue 1, pp. 1 - 13
In this article, a new technique for features extraction from SAR interferograms is presented. The technique combines the properties of auto-associative neural... 
Engineering | Discrete wavelet transform | Signal, Image and Speech Processing | Neural networks | SAR interferometry | Nonlinear PCA | Discrete fourier transform | PRINCIPAL COMPONENT ANALYSIS | ENGINEERING, ELECTRICAL & ELECTRONIC | Faults | Fourier transforms | Chains | Feature extraction | Tectonics | Seismic phenomena | Synthetic aperture radar
Journal Article
Proceedings of SPIE, ISSN 0277-786X, 10/2010, Volume 7829, Issue 1, pp. 78290J - 78290J-6
Satellite SAR Interferometry (InSAR) has been already proven to be effective in the analysis of seismic events. In fact, the surface displacement field... 
InSAR | Neural Networks | seismic events | inversion problems | Faults | Computer simulation | Neural networks | Seismic engineering | Mathematical models | Displacement | Seismic phenomena | Synthetic aperture radar | Interferometry
Conference Proceeding
International Geoscience and Remote Sensing Symposium (IGARSS), 10/2018, Volume 2018-, pp. 3015 - 3018
Conference Proceeding
International Geoscience and Remote Sensing Symposium (IGARSS), 10/2018, Volume 2018-, pp. 1962 - 1965
Conference Proceeding
International Geoscience and Remote Sensing Symposium (IGARSS), 2013, pp. 1 - 4
Conference Proceeding
2011 IEEE International Geoscience and Remote Sensing Symposium, ISSN 2153-6996, 07/2011, pp. 3546 - 3549
The great eruption of the Icelandic Eyjafjallajokull volcano that occurred from the 14 th of April to the 23 rd of May 2010 injected large and dense ash clouds... 
BTD algorithm | Accuracy | Clouds | Volcanic ash | Ash | Artificial neural networks | Eyjafjallajokull eruption | Neural Networks | MODIS
Conference Proceeding
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