Automated detection of sedimentary features using wavelet analysis and neural networks on single beam echosounder data : a case study from the Venice Lagoon, Italy

Fantina Madricardo , Jarosław Tęgowski , Sandra Donnici

Abstract

n/a
Author Fantina Madricardo
Fantina Madricardo,,
-
, Jarosław Tęgowski (FOG / IO / DMG)
Jarosław Tęgowski,,
- Division of Marine Geology
, Sandra Donnici
Sandra Donnici,,
-
Journal seriesContinental Shelf Research, ISSN 0278-4343, (A 30 pkt)
Issue year2012
Vol43
Pages43-54
Keywords in Englishsedimentary feature classification, wavelet transformation, neural network, Venice Lagoon
ASJC Classification1907 Geology; 1104 Aquatic Science; 1910 Oceanography
DOIDOI:10.1016/j.csr.2012.04.018
URL http://dx.doi.org/10.1016/j.csr.2012.04.018
Languageen angielski
Score (nominal)30
Publication indicators WoS Citations = 10; Scopus SNIP (Source Normalised Impact per Paper): 2014 = 1.218; WoS Impact Factor: 2012 = 1.889 (2) - 2012=2.264 (5)
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