SAR/optical data fusion for flood detection

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2016-November, Issue , 2016, Pages 7631-7634

  D'Addabbo, A ^a   Refice, A ^a   Pasquariello, G ^a   Lovergine, F ^a  

^a CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85007494732     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7730990     Document Type: Conference Paper

References (10)

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2. A. Refice, D. Capolongo, G. Pasquariello, A. 0' Addabbo, F. Bovenga, R. Nutricato, F. P. Lovergine, and L. Pietranera, "SAR and InSAR for flood monitoring: examples with COSMO-SkyMed data, " IEEE 1. Sel. Topics Appl. Earth Observo in Remote Sens., Vol. 7, No. 7, pp. 2711-2722, 2014
3. L. Pulvirenti, M. Chini, N. Pierdicca, G. Boni, "Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence, " IEEE Trans. Geosci. Rem. Sens., Vol. 54, No. 3, pp. 1532-1544, 2016
4. A. 0' Addabbo, A. Refice, G. Pasquariello, F. Lovergine, D. Capolongo, S. Manfreda, "A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data ", IEEE Trans. Geosci. Rem. Sens., Vol. 54, No. 6, pp. 3612-3625, 2016
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6. M. Fiorentino, S. Manfreda, and V. Iacobellis, "Peak runoff contributing area as hydrological signature of the probability distribution of floods, " Advances in Water Resources, Vol. 30, No. 10, pp. 2123-2134, 2007
7. Blackbridge, "RapidEye Satellite Imagery product specifications ", [online] Available: http://blackbridge.comlrapideye/upl oad/REJ'roducLSpeci ficati onsxN G. pdf, 2015
8. D. Barber, Bayesian Reasoning and Machine Learning, Cambridge University Press, 2012
9. D. Frey, M. Butenuth, and D. Straub, "Probabilistic graphical models for flood state detection of roads combining imagery and OEM, " IEEE Geosci. Rem. Sens. Letters, Vol. 9, No. 6, p 1051-1055, 2012
10. C.M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.