Research Papers

Approaching bathymetry estimation from high resolution multispectral satellite images using a neuro-fuzzy technique

[+] Author Affiliations
Linda Corucci

University of Pisa, Dipartimento di Ingegneria dell’Informazione: Informatica, Elettronica, Telecomunicazioni, Largo Lucio Lazzarino, 1, 56122 Pisa, Italy

Andrea Masini

Flyby S.r.l., Via Puini, 97, 57128 Livorno, Italy

Marco Cococcioni

University of Pisa, Dipartimento di Ingegneria dell’Informazione: Informatica, Elettronica, Telecomunicazioni, Largo Lucio Lazzarino, 1, 56122 Pisa, Italy

J. Appl. Remote Sens. 5(1), 053515 (March 29, 2011). doi:10.1117/1.3569125
History: Received March 12, 2010; Revised February 21, 2011; Accepted March 01, 2011; Published March 29, 2011; Online March 29, 2011
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This paper addresses bathymetry estimation from high resolution multispectral satellite images by proposing an accurate supervised method, based on a neuro-fuzzy approach. The method is applied to two Quickbird images of the same area, acquired in different years and meteorological conditions, and is validated using truth data. Performance is studied in different realistic situations of in situ data availability. The method allows to achieve a mean standard deviation of 36.7 cm for estimated water depths in the range [−18, −1] m. When only data collected along a closed path are used as a training set, a mean STD of 45 cm is obtained. The effect of both meteorological conditions and training set size reduction on the overall performance is also investigated.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Linda Corucci ; Andrea Masini and Marco Cococcioni
"Approaching bathymetry estimation from high resolution multispectral satellite images using a neuro-fuzzy technique", J. Appl. Remote Sens. 5(1), 053515 (March 29, 2011). ; http://dx.doi.org/10.1117/1.3569125


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