Blar i NR vitenarkiv på forfatter "Salberg, Arnt-Børre"
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Acoustic classification in multifrequency echosounder data using deep convolutional neural networks
Brautaset, Olav; Waldeland, Anders Ueland; Johnsen, Espen; Malde, Ketil; Eikvil, Line; Salberg, Arnt-Børre; Handegard, Nils Olav (Journal article; Peer reviewed, 2020)Acoustic target classification is the process of assigning observed acoustic backscattering intensity to an acoustic category. A deep learning strategy for acoustic target classification using a convolutional network is ... -
Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation
Ordonez, Alba; Eikvil, Line; Salberg, Arnt-Børre; Harbitz, Alf; Elvarsson, Bjarki Thor (Journal article; Peer reviewed, 2022)The age determination of fish is fundamental to marine resource management. This task is commonly done by analysis of otoliths performed manually by human experts. Otolith images from Greenland halibut acquired by the ... -
Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data
Choi, Changkyu; Kampffmeyer, Michael; Jenssen, Robert; Handegard, Nils Olav; Salberg, Arnt-Børre (Journal article; Peer reviewed, 2023)Multi-frequency echosounder data can provide a broad understanding of the underwater environment in a non-invasive manner. The analysis of echosounder data is, hence, a topic of great importance for the marine ecosystem. ... -
DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images
Politikos, Dimitris V.; Sykiniotis, Nikolaos; Petasis, Georgios; Dedousis, Pavlos; Ordonez, Alba; Vabø, Rune; Anastasopoulou, Aikaterini; Moen, Endre; Mytilineou, Chryssi; Salberg, Arnt-Børre; Chatzispyrou, Archontia; Malde, Ketil (Journal article; Peer reviewed, 2022) -
Estimating Traffic in Urban Areas from Very-High Resolution Aerial Images
Reksten, Jarle Hamar; Salberg, Arnt-Børre (Journal article; Peer reviewed, 2021)Traffic estimation from very-high-resolution remote-sensing imagery has received increasing interest during the last few years. In this article, we propose an automatic system for estimation of the annual average daily ... -
Explaining decisions of deep neural networks used for fish age prediction
Ordonez, Alba; Eikvil, Line; Salberg, Arnt-Børre; Harbitz, Alf; Murray, Sean Meling; Kampffmeyer, Michael (Peer reviewed; Journal article, 2020) -
Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning
Waldeland, Anders Ueland; Salberg, Arnt-Børre; Trier, Øivind Due; Vollrath, Andreas (Chapter, 2020)The deep learning revolution in computer vision has enabled a potential for creating new value chains for Earth observation that significantly enhances the analysis of satellite data for tasks like land cover mapping, ... -
Self-Constructing Graph Convolutional Networks for Semantic Labeling
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt-Børre (Chapter, 2020)Graph Neural Networks (GNNs) have received increasing attention in many fields. However, due to the lack of prior graphs, their use for semantic labeling has been limited. Here, we propose a novel architecture called the ...