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Seafloor roughness estimation employing bathymetric systems: An appraisal of the classification and characterization of high-frequency acoustic data

DRS at CSIR-National Institute of Oceanography

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Title Seafloor roughness estimation employing bathymetric systems: An appraisal of the classification and characterization of high-frequency acoustic data
 
Creator Chakraborty, B.
Haris, K.
 
Subject seafloor mapping
acoustic imagery
multibeam sonar
 
Description The study of the seafloor is important for living and non-living resource estimation along with the related processes identification. To understand the fine-scale seafloor processes, various methods such as application of acoustic remote sensing, seafloor photographic and geological samplings are well established. Among these, the high-frequency single beam echo-sounding system (SBES) and multi-beam echo-sounding system (MBES) became more familiar due to their rapid data acquisition advantages. These systems are extensively used to study the seafloor morphology etc. Seafloor acoustic backscatter information provides fine-scale seafloor roughness and associated sediment processes. The angular and normal incidence backscatter strength data can be utilized to estimate seafloor roughness parameters using physics based numerical inversion models. However, for such applications, the segmentation of the backscatter data is essential, especially before initiating any numerical based models to characterize the seafloor. Under such situations, the employment of the soft computational techniques e.g., artificial neural networks (ANNs) are found to be suitable for seafloor acoustic data segmentation and classifications. Seafloor studies are carried out at the National Institute of Oceanography, Goa during the last two decades employing similar techniques, and study results related to the seafloor classification and characterizations are documented in this research review.
 
Date 2013-01-09T06:17:26Z
2013-01-09T06:17:26Z
2012
 
Type Conference Article
 
Identifier Proceedings of the 3rd International Conference on Ocean Acoustics. American Institute of Physics; USA, vol.1495; 2012; 283-296
http://drs.nio.org/drs/handle/2264/4215
 
Language en
 
Rights Copyright (2012) American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article may be found at http://dx.doi.org/10.1063/1.4765921
 
Publisher American Institute of Physics