Earthquake Damages Rapid Mapping by Satellite Remote Sensing Data: L'Aquila April 6th, 2009 Event

Stramondo, Salvatore; Lisini, Gianni; Chini, Marco; Bignami, Christian; Dell'Acqua, Fabio; Polli, Diego Aldo

doi:10.1109/JSTARS.2011.2162721

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Earthquake Damages Rapid Mapping by Satellite Remote Sensing Data: L'Aquila April 6th, 2009 Event

Author(s): Fabio Dell'Acqua , Christian Bignami , Marco Chini , Gianni Lisini , Diego Aldo Polli , Salvatore Stramondo

Publication date (Print): December 2011

Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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A new approach for the morphological segmentation of high-resolution satellite imagery

M. Pesaresi, J.A. Benediktsson (2001)

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An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

F. Melgani, L. Bruzzone, Y. Bazi (2005)

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A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters

Phil J. Glassey, Stephen J. McNeill, Karen E. Joyce … (2009)

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Title: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Abbreviated Title: IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1939-1404

Publication date Created: December 2011

Publication date (Print): December 2011

Volume: 4

Issue: 4

Pages: 935-943

Article

DOI: 10.1109/JSTARS.2011.2162721

SO-VID: 77e40378-9da5-4506-8da6-211e4f66886a

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Earthquake Damages Rapid Mapping by Satellite Remote Sensing Data: L'Aquila April 6th, 2009 Event

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MoRePaS 2018 - Model Reduction of Parametrized Systems IV

Most cited references 29

A new approach for the morphological segmentation of high-resolution satellite imagery

An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters

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