Eliassen, Inge Kristian

Mapping Pelagic and Demersal Resources

Developing advanced scientific software for mapping the pelagic and demersal resources

LSSS

The “Large Scale Survey System” (L-triple-S) is a software system for marine stock assessment and research through analysis of multi-frequency acoustic data

SEEBED

Seeing further: Broadband acoustics for improved measurements of demersal fishes.

Acoustic identification of marine species using a feature library

Korneliussen, Rolf; Gavin Macaulay, Espen Johnsen; Eliassen, Inge Kristian; Heggelund, Yngve; Patel, Daniel;

Sonars and echosounders are widely used for remote sensing of life in the marine environment. There is an ongoing need to make the acoustic identification of marine species more correct and objective and thereby reduce the uncertainty of acoustic abundance estimates.

Pre-catch sizing of herring and mackerel using broadband acoustics

Pobitzer, Armin; Eliassen, Inge Kristian; Heggelund, Yngve; Korneliussen, Rolf; E. Ona; G. Macaulay; A. Totland

The price of caught fish can depend strongly on their length or weight. This creates a strong motivation and need for pre-catch size estimation, particularly in purse seine fisheries. While it is customary to release unwanted schools, this can cause high mortality in the fish. We present initial measurements and at-sea trials of an acoustic system and real-time processing algorithm that estimates the length of Atlantic herring (Clupea harengus L.) to within +/- 3 cm.

Sailbuoy Unmanned Surface Vehicle as an active acoustic measurement platform for biomass detection and monitoring; sensor integration, tests, and demonstration mission

Pedersen, Geir; Peddie, David; Eliassen, Inge Kristian; Heggelund, Yngve; Lied, Gaute Øverås; Korneliussen, Rolf

The Sailbuoy is a low cost autonomous ocean platform capable of deployments for extended periods of time, and part of a new generation of vehicles designed for marine observations enabling scientists to expand and intensify the study and monitoring of seas and oceans.

Acoustic species identification of schooling fish

Korneliussen, Rolf; Eliassen, Inge Kristian; Heggelund, Yngve; Geir O. Johansen

The development of methods for the acoustic identification of fish is a long-term objective aimed at reducing uncertainty in acoustic-survey estimates. The relative frequency response r(f) measured simultaneously at several frequencies is one of the main acoustic features that characterize the targets, but the relationship between nearest neighbours, school morphology, and environmental and geographical data are also important characteristics in this context.

Combining multibeam-sonar and multifrequency-echosounder data: examples of the analysis and imaging of large euphausiid schools

Korneliussen, Rolf; Eliassen, Inge Kristian; Heggelund, Yngve; Ola K. Øye, Tor Knutsen, John Dalen

The first high-resolution, quantitative, multibeam sonar (Simrad MS70) ever developed was mounted in a keel of RV “G. O. Sars” with port-orientated beams. Each ping samples a volume of 60° horizontally × 45° vertically with 500 beams, which is often enough to insonify a complete school of fish or zooplankton.

The large scale survey system - LSSS

Korneliussen, R.J.; Bekkvik, Tor Christian; Eliassen, Inge Kristian; Heggelund, Yngve; Nornes, Else Helen; Patel, Daniel; Ona, E., Patel, R., Godø, O.R., Giertsen, C., , Knudsen, H. P., Lien, G.

Acoustic methods are widely used for estimating fish abundance. Currently the Institute of Marine Research (IMR) uses the Bergen Echo Integrator (BEI) to analyse the acoustic data. Development of BEI started in 1987, and although it still fills its purpose it has become increasingly difficult to maintain and expand.

FAVEum Framework Architecture for Virtual Environments applied to Urban Modelling

J. O. Erdal; Eliassen, Inge Kristian; Langeland, Tor; Patel, Daniel;

FAVE (Framework Architecture for Virtual Environments) is a generic software frame work for developing VR applications. It contains a toolkit of us er interface widgets, navigation techniques, interaction features and optimised visualisation algorithms.

FAVE, Framework Architecture for Virtual Environments, Use case; visualization of online CFD simulations

Patel, Daniel; Eliassen, Inge Kristian; Langeland, Tor;

We present a highly configurable framework for virtual environments. The framework consists of a toolbox of classes which are instantiated into objects as dictated by our own XML specification language. The result is that application behavior is specified with XML atruntime instead of in source code at compile time.

FAVE, A Framework Architecture for Virtual Environments

Patel, Daniel; Eliassen, Inge Kristian; Langeland, Tor;

We present a highly config urable, rapid prototyping framework for immersive virtual environments. The framework is object oriented, event driven and has been designed with collaboration over networks in mind. It consists of several abstraction layers and can be used as a black box framework.