Browsing by Subject "echosounders"
Now showing items 1-14 of 14
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A neural network based seafloor classification using acoustic backscatter
(Springer-Verlag; Berlin, Heidelberg, 2002)This paper presents a study results of the Artificial Neural Network (ANN) architectures [Self-Organizing Map (SOM) and Multi-Layer Perceptron (MLP)] using single beam echosounding data. The single beam echosounder, operable ... -
Acoustic characterization of continental shelf seafloor and benthic habitats using single and multi-beam backscatter data
(Institute of Applied & Computational Mathematics, 2013)Satellite based marine remote sensing is a conventional technique for oceanographic research studies. Likewise, in the future projection application of the acoustic remote sensing using high frequency single-beam echo-sounder ... -
Acoustic seafloor sediment classification using self-organizing feature maps
(IEEE, 2001)A self-organizing feature map (SOFM), a kind of artificial neural network (ANN) architecture, is used in this work for continental shelf seafloor sediment classification. Echo data are acquired using an echosounding system ... -
Analysis of multibeam-hydrosweep echo peaks for seabed characterisation
(Springer, 2001)Echo-peak data of outer and normal incidence beams from five different Southern Ocean bottom topographic regions have been analysed. The Rice and Extremal probability density function (PDF) statistical approaches reveal ... -
Bathymetric techniques and Indian Ocean applications
(InTech, 2012)The acoustic echosounders are the traditional workhorse of bathymetry measurements. The article highlights the differences between single beam and multibeam echosounders, besides indicating how complimentary they are to ... -
Echo-waveform classification using model and model free techniques: Experimental study results from central western continental shelf of India
(Marine Technology Society, 2005)Seafloor classifications and characterization using acoustic backscatter data from the central western continental shelf of India is presented in this work. Single beam sea-floor echo data using two frequencies: 33 kHz and ... -
Estimating deep seafloor interface and volume roughness parameters using the multibeam-hydrosweep system
(Taylor & Francis, 2002)Utilizing a hull-mounted, multinarrow beam echosounder onboard RV Polarstern, variation of acoustic backscatter with incidence angles at two different sites in the Southern Oceans (Agulhas Plateau and the Riiser Larsen ... -
Mapping the floor
(CSIR, India, 2005) -
Multibeam echosounder pseudo sidescan images as a tool for manganese nodule exploration
(International Society of Offshore and Polar Engineers, Cupertino, CA (USA), 1999)Deep ocean floor is the storehouse of vast quantities of mineral resources and manganese nodules are one of the important resources. The method of semi quantitative evaluation of nodule resource estimation using the rms ... -
Quantitative seafloor characterization using angular backscatter data of the multi-beam echo-sounding system - Use of models and model free techniques
(Allied, India, 2003)For quantitative seafloor roughness characterization and classification using multi-beam processed backscatter data, a good correlation is indicated among the power law parameters (composite roughness model) and hybrid ANN ... -
Sea-floor classification using multibeam echo-sounding angular backscatter data: A real-time approach employing hybrid neural network architecture
(IEEE, 2003)The presently studied numerical model, e.g., composite roughness, is successful for the purpose of sea-floor classification employing processed multibeam angular backscatter data from manganese-nodule-bearing locations of ... -
Seabottom backscatter studies in the western continental shelf of India
(Academic Press, 1999)The study is initiated to observe the interaction effects of the sound signal with three different sediment bottoms in the shelf area between Cochin and Mangalore in the western continental shelf of India. An echo signal ... -
Seabottom characterization using multibeam echosounder angular backscatter: An application of the composite roughness theory
(IEEE, 2000)Composite roughness theory is used to characterize Southern Ocean bottom backscatter (multibeam) data. Spectral parameters based on Helmholtz-Kirchhof's theory (1) are determined from measured near-normal incidence values. ... -
Seafloor classification using acoustic backscatter echo-waveform - Artificial neural network applications
(IEEE Singapore Section Secretariat, 2006)In this paper seafloor classifications system based on artificial neural network (ANN) has been designed. The ANN architecture employed here is a combination of Self Organizing Feature Map (SOFM) and Linear Vector Quantization ...