Marco Chini mainly investigates Remote sensing, Synthetic aperture radar, Flood myth, Backscatter and Land cover. His Remote sensing research includes elements of Image processing, Pixel and Scale. His Synthetic aperture radar research includes elements of Image resolution, Ancillary data, Image segmentation and Radar imaging.
Coherence, Radar cross-section, Photogrammetry and Early-warning radar is closely connected to Interferometric synthetic aperture radar in his research, which is encompassed under the umbrella topic of Flood myth. Marco Chini has researched Backscatter in several fields, including Histogram and Thresholding. His work focuses on many connections between Remote sensing and other disciplines, such as Coherence, that overlap with his field of interest in Seismology.
Remote sensing, Synthetic aperture radar, Flood myth, Seismology and Interferometric synthetic aperture radar are his primary areas of study. The Change detection research Marco Chini does as part of his general Remote sensing study is frequently linked to other disciplines of science, such as Land cover, therefore creating a link between diverse domains of science. His Synthetic aperture radar research incorporates elements of Earth observation, Meteorology, Radar imaging, Backscatter and Digital elevation model.
His studies in Flood myth integrate themes in fields like Fuzzy logic, Coherence and Wetland. In his study, Epicenter is inextricably linked to Geodesy, which falls within the broad field of Seismology. The various areas that he examines in his Pixel study include Artificial neural network and Panchromatic film.
Marco Chini mostly deals with Remote sensing, Flood myth, Synthetic aperture radar, Interferometric synthetic aperture radar and Change detection. His Remote sensing research incorporates themes from Coherence, Pixel, Scale and Thresholding. Marco Chini combines subjects such as Time series, Wetland and Scale with his study of Flood myth.
His study deals with a combination of Synthetic aperture radar and Land cover. Marco Chini usually deals with Interferometric synthetic aperture radar and limits it to topics linked to Coherence and Bistatic radar, Random forest and Flood detection. His work carried out in the field of Change detection brings together such families of science as Aerial photography, Selection and Drainage.
His primary scientific interests are in Remote sensing, Synthetic aperture radar, Interferometric synthetic aperture radar, Flood myth and Pixel. His research in the fields of Ancillary data overlaps with other disciplines such as Root mean square. As a member of one scientific family, Marco Chini mostly works in the field of Synthetic aperture radar, focusing on Flood mapping and, on occasion, Microwave remote sensing.
The study incorporates disciplines such as Random forest, Effusive eruption and Bistatic radar in addition to Interferometric synthetic aperture radar. His Flood myth research includes themes of Flooding, Data processing, Meteorology and Water resources. His research integrates issues of Region growing and Thresholding in his study of Pixel.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification
Fabio Pacifici;Marco Chini;William J. Emery.
Remote Sensing of Environment (2009)
Finite fault inversion of DInSAR coseismic displacement of the 2009 L'Aquila earthquake (central Italy)
Simone Atzori;Ingrid Hunstad;Marco Chini;Stefano Salvi.
Geophysical Research Letters (2009)
Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation
L. Pulvirenti;M. Chini;N. Pierdicca;L. Guerriero.
Remote Sensing of Environment (2011)
An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic
L. Pulvirenti;N. Pierdicca;M. Chini;L. Guerriero.
Natural Hazards and Earth System Sciences (2011)
Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies
S. Stramondo;C. Bignami;M. Chini;N. Pierdicca.
International Journal of Remote Sensing (2006)
A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case
Marco Chini;Renaud Hostache;Laura Giustarini;Patrick Matgen.
IEEE Transactions on Geoscience and Remote Sensing (2017)
Exploiting SAR and VHR Optical Images to Quantify Damage Caused by the 2003 Bam Earthquake
M. Chini;N. Pierdicca;W.J. Emery.
IEEE Transactions on Geoscience and Remote Sensing (2009)
Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence
Luca Pulvirenti;Marco Chini;Nazzareno Pierdicca;Giorgio Boni.
IEEE Transactions on Geoscience and Remote Sensing (2016)
Observing floods from space: Experience gained from COSMO-SkyMed observations
N. Pierdicca;L. Pulvirenti;M. Chini;L. Guerriero.
Acta Astronautica (2013)
Analysis and Interpretation of the COSMO-SkyMed Observations of the 2011 Japan Tsunami
M. Chini;L. Pulvirenti;N. Pierdicca.
IEEE Geoscience and Remote Sensing Letters (2012)
Profile was last updated on December 6th, 2021.
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