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  • CV: Researcher (remote sensing)

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    Personal information
     Name:<withheld>
     Age:<withheld>
     Country:<withheld>
     Location:<withheld>
    Contact information
     Email:<withheld>
     Phone:<withheld>
     Mobile:<withheld>
    Candidate Profile
     Date Submitted:25-01-2011
     Last Modified:26-01-2011 (06:12)
    Job information
     Current job:Researcher (remote sensing)
     Employment Term:Temp/Contract
     Job location:Anywhere
     Date available:
     Industry:Civil Agencies/International Organizations, Consulting/Engineering Services
     KeywordsRemote Sensing VHR spatial resolution satellite images (SAR and Optical data - COSMO-SkyMed, TerraSAR-X, QuickBird) Neural Networks
    CV

    Work experience

     

     

     

    Dates

    11/2010

    Occupation or position held

    Researcher

    Main activities and responsabilities

    COSMO-SkyMed project partially funded by ASI (AO project 1484, agreement N. I/061/09/0): “Computer-   assisted monitoring of land cover and its changes in the Roma-Frascati sub-urban area”

    Name and address of employer

    EOLAB (Earth Observation Laboratory) in  Tor Vergata University,Rome

    V. del Politecnico,1 Roma

    Type of business or sector

    Remote sensing

     

     

    Dates

    10/2008 – 10/2010

    Occupation or position held

    Responsible for database management

    Main activities and responsabilities

    Environmental Impact Assessment data management

    Name and address of employer

    Italian Ministry of Environment

    Type of business or sector

    Environmental Impact Assessment

     

     

    Dates

    06/2008 – 10/2008

    Occupation or position held

    Researcher

    Main activities and responsibilities

    Oil spill detection and ship detection in SAR imagery by means automatic algorithms based on neural networks 

    Name and address of employer

    EOLAB (Earth Observation Laboratory) in  Tor Vergata University,Rome

    V. del Politecnico,1 Roma

    Type of business or sector

    Remote sensing

     

     

     

     

    Education and training

     

     

     

    Dates

    11/2008

    Title of qualification awarded

    Doctorate in Geoinformation http://www.disp.uniroma2.it/geoinformation/

    Principal subjects/occupational skills covered

    Feature extraction from VHR images acquired by COSMO-SkyMed satellite, using suitable algorithms, also based on Neural Networks.

    Name and type of organisation providing education and training

    EOLAB (Earth Observation Laboratory) in  Tor Vergata University,Rome

     

     

    Dates

    09/2008

    Title of qualification awarded

    Engineering licence in civil and environmental sectors

     

     

    Dates

    11/2005 – 05/2008

    Title of qualification awarded

    Master degree in environmental engineering

    Vote: 110/110 summa cum laude, Right to be Published

     

    Principal subjects/occupational skills covered

    Title of Thesis: “Satellite imagery classification by means a totally automatic algorithm”

     

    Remote sensing

    Supervised and unsupervised classification algorithms

    Neural Networks

    Satellite imagery classification by means ENVI software

    IDL programming language

     

    Name and type of organisation providing education and training

    Tor Vergata University,Rome

                                 

     

     

    Dates

    10/2001 – 11/2005

    Title of qualification awarded

    Bachelor degree in environmental engineering

    Vote: 110/110 summa cum laude

     

    Principal subjects/occupational skills covered

    Geotechnique

    Name and type of organisation providing education and training

    Tor Vergata University,Rome

     

     

    Dates

    1996-2001

    Title of qualification awarded

    Science High School Diploma

    Vote: 100/100

    Name and type of organisation providing education and training

    Liceo Scientifico “F.Severi”, Frosinone

     

     

     

     

     

     

    Personal skills and competences

     

     

     

    Mother tongue(s)

    Italian

     

     

    Other language(s)

    English

     

     

    Computer skills and competences

    Operating systems: Windows (Office packet: Word, Excel, Powerpoint)

    Drawing and Graphic software: AutoCAD and Photoshop

    Other software: ENVI, NEST, GAMMA, SNNS

    Programming languages: IDL, C++, Fortran, MathCAD

     

     

     

     

     

     

     

     

     

     

    Conferences and Publications

     

     

     

    Date

    11-13 April 2011

    Title

    C. Pratola, F. Del Frate, G. Schiavon, D. Solimini, “Characterizing land cover from X-band COSMO-SkyMed images by neural networks”, Joint Urban Remote Sensing Event, JURSE-URBAN 2011, Munich, German

    Date

    20 - 23 September 2010

    Title

    F. Del Frate, D. Loschiavo, C. Pratola, G. Schiavon, D. Solimini, “Sub-urban landscape characterization by very-high resolution X-band COSMO SAR images: first results”,  SPIE Remote Sensing 2010, Toulouse, France

     

     

    Date

    20 - 23 September 2010

    Title

    F. Del Frate, D. Latini, C. Pratola, “Automatic object extraction from VHR satellite SAR images using pulse coupled neural networks”, SPIE Remote Sensing 2010, Toulouse, France

     

     

    Date

    25 - 30 July 2010

    Title

    C.Pratola, M. Del Greco, F. Del Frate, G. Schiavon, D. Solimini, “Towards fully generation of land cover maps from polarimetric and metric-resolution SAR data”, International Geoscience and Remote Sensing Symposium, IGARSS ’10, Honolulu, Hawaii, U.S.A

     

     

    Date

    25 – 29 January 2010

    Title

    F.Del Frate, D. Latini, C. Pratola, “Pulse Coupled Neural Network for Automatic Oil Spill Detection from Satellite SAR Images”, SEASAR 2010: Advances in SAR Oceanography from ENVISAT, ERS and ESA third party missions, ESA/ESRIN, Frascati, Italy

     

     

    Date

    03 – 05 November 2009

    Title

    F. Del Frate, C. Pratola, “Building extraction from very high resolution SAR images using Pulse Couple Neural Network”, ESA-EUSC-JRC 2009: Image Information Mining: automation of geospatial intelligence from Earth Observation, EUSC, Torrejon air base, Madrid, Spain

     

     

    Date

    12 -17 July 2009

    Title

    G. Licciardi, C. Pratola, F. Del Frate, “Completely automatic classification of satellite multi-spectral imagery for the production of land cover maps”, International Geoscience and Remote Sensing Symposium, IGARSS ’09, Cape Town, South Africa

     

     

    Date

    12 -17 July 2009

    Title

    F. Del Frate, F. Pacifici, C. Pratola, D. Solimini, “Pulse coupled neural networks for automatic features extraction from COSMO-SkyMed and TerraSAR-X imagery”, International Geoscience and Remote Sensing Symposium, IGARSS ’09, Cape Town, South Africa

     

     

    Date

    26 -30 January 2009

    Title

    F. Del Frate, M. Del Greco, C. Pratola, C. Putignano, and D. Solimini, “Fully automatic land cover maps generation using polarimetric SAR data”, 4th Int. Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry,ESA/ESRIN, Frascati, Italy

     

     

    Date

    23 -24 October 2008

    Title

    F. Del Frate, M. Lazzarini, G. Licciardi, C. Putignano, C. Pratola, “Una procedura completamente automatica per la classificazione di immagini satellitari”, XIV Riunione Annuale CeTeM / V Workshop AIT / XIV Giornata MECSA sull’Ingegneria delle Microonde, Roma, Italy

     

     

     

     

     

     

    Date

    06 -11 July 2008

    Title

    A. Burini, C. Putignano, F. Del Frate, G. Licciardi, C. Pratola, G. Schiavon, D. Solimini, “TerraSAR-X/SPOT-5 fused images for supervised land cover classification”, International Geoscience and Remote Sensing Symposium, IGARSS ’08, Boston, MA, U.S.A

     

     

    Date

    06 – 11 July 2008

    Title

    G. Licciardi, C.Putignano, F. Del Frate, C. Pratola, “Tasseled Cap transformation and neural networks for the design of an optimum image classification algorithm using multispectral data”, International Geoscience and Remote Sensing Symposium, IGARSS’08, Boston, MA, U.S.A.



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