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Fine scale analyses of a coralline bank mapped using multi-beam backscatter data

DRS at CSIR-National Institute of Oceanography

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Title Fine scale analyses of a coralline bank mapped using multi-beam backscatter data
 
Creator Menezes, A.A.A.
Naik, M.
Fernandes, W.A.
Haris, K.
Chakraborty, B.
Estiberio, S.
Lohani, R.B.
 
Subject OCEANOGRAPHY AND LIMNOLOGY
 
Description In this work, we have developed a classification technique to characterize the seafloor of the Gaveshani (coralline) bank area using multi-beam backscatter data. Softcomputational techniques like the artificial neural networks (ANNs) based unsupervised self-organizing maps (SOM) architecture is used to determine the existence of six classes. Thereafter, 55 segments were identified for data segmentation, employing six profiles selected from the backscatter maps, using the fuzzy c-means (FCM) algorithms. The gridded map of the segmented seafloor backscatter data was overlaid on the coregistered backscatter map to understand the distribution of the overlying sediment material on the bank
 
Date 2015-07-10T10:52:58Z
2015-07-10T10:52:58Z
2015
 
Type Conference Article
 
Identifier Proceedings of the International Symposium on Underwater Technology (UT-2015), 23-25 February 2015. ; National Institute of Ocean Technology, Chennai; India; 2015; UT15-121
http://drs.nio.org/drs/handle/2264/4729
 
Language en
 
Rights Copyright [2015]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
 
Publisher NIOT, Chennai