Karl Thomas Hjelmervik

发表

Sonar false alarm rate suppression using classification methods based on acoustic modelling

Karl Thomas Hjelmervik, K. Hjelmervik, 2011 .

Predicting False Alarm Rates for High-Resolution Antisubmarine Warfare Sonars in a Cluttering Environment Prone to False Alarm Rate Inflation

Karl Thomas Hjelmervik, Henrik Berg, Tale Solberg Sastad, 2020, IEEE Journal of Oceanic Engineering.

Target depth estimation using a ray backpropagation scheme on sonar data – simulations and experiments

Karl Thomas Hjelmervik, 2012 .

Target depth estimating using a ray backpropagation scheme on mid-frequency active sonar data

Karl Thomas Hjelmervik, 2010 .

A hybrid recorded-synthetic sonar data set for validation of ASW classification algorithms

Henrik Berg, Karl Thomas Hjelmervik, Tale Solberg Sastad, 2015, OCEANS 2015 - Genova.

Inverting the water column sound speed

Karl Thomas Hjelmervik, 2010 .

Time-calibrated estimates of oceanographic profiles using empirical orthogonal functions and clustering

Karina Hjelmervik, Karl Thomas Hjelmervik, 2014, Ocean Dynamics.

LYBIN 6.0 - user manual

Amund Gjersøe, Morten Kloster, Karl Thomas Hjelmervik, 2011 .

Sonar simulation for the Action Speed Tactical Trainer at KNM Tordenskjold

Amund Gjersøe, Karl Thomas Hjelmervik, Svein Alsterberg, 2008 .

Comparison of measured and modelled reverberation and echo level in littoral waters

Karl Thomas Hjelmervik, André Adelsten S⊘vik, 2017, OCEANS 2017 - Aberdeen.

Sonar false alarm reduction using detailed bathymetry data and acoustic propagation modelling

Karl Thomas Hjelmervik, Jon Wegge, Elling Tveit, 2012 .

Predicting Sonar False Alarm Rate Inflation Using Acoustic Modeling and a High-Resolution Terrain Model

Karl Thomas Hjelmervik, 2010, IEEE Journal of Oceanic Engineering.

A comparison of different machine learning algorithms for automatic classification of sonar targets

Henrik Berg, Karl Thomas Hjelmervik, Tale Solberg Sastad, 2016, OCEANS 2016 MTS/IEEE Monterey.

Synthesizing Realistic, High-Resolution Anti-Submarine Sonar Data

Karl Thomas Hjelmervik, Tale S Såstad, 2018, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).

Proposed use of Lybin in project Simson

Karl Thomas Hjelmervik, Elling Tveit, Elin Dombestein, 2003 .

Automatic target classification for low-frequency anti-submarine warfare sonars

Henrik Berg, Karl Thomas Hjelmervik, 2013, 2013 MTS/IEEE OCEANS - Bergen.

Classification of anti-submarine warfare sonar targets using a deep neural network

Karl Thomas Hjelmervik, Henrik Berg, K. Hjelmervik, 2018, OCEANS 2018 MTS/IEEE Charleston.

Synthesizing active anti-submarine warfare sonar data

Karl Thomas Hjelmervik, Henrik Berg, Dan Henrik S Stender, 2019, OCEANS 2019 - Marseille.

Finding Acoustically Stable Areas Through Empirical Orthogonal Function (EOF) Classification

Karl Thomas Hjelmervik, Jan Kristian Jensen, Petter Ostenstad, 2012, IEEE Journal of Oceanic Engineering.

SIMSON - visualization and analysis of ASW sonar data

Fredrik Hermansen, Morten Kloster, Karl Thomas Hjelmervik, 2016, OCEANS 2016 MTS/IEEE Monterey.

Deep Learning on Active Sonar Data Using Bayesian Optimization for Hyperparameter Tuning

Karl Thomas Hjelmervik, Henrik Berg, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Optimization of active sonar parameters in a measured environment

Karl Thomas Hjelmervik, Elin Margrethe Bøhler, K. Hjelmervik, 2021, 6th Underwater Acoustics Conference and Exhibition.

Classification of acoustically stable areas using empirical orthogonal functions

Karl Thomas Hjelmervik, Atle Ommundsen, Jan Kristian Jensen, 2012, Ocean Dynamics.

In ocean evaluation of low frequency active sonar systems

Karl Thomas Hjelmervik, Geir Helge Sandsmark, 2008 .