Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ingunn, Nilssen"'
Autor:
Daniel Langenkämper, Aksel Alstad Mogstad, Ingrid Myrnes Hansen, Thierry Baussant, Øystein Bergsagel, Ingunn Nilssen, Tone Karin Frost, Tim Wilhelm Nattkemper
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272408 (2022)
Hyperspectral imaging (HSI) is a promising technology for environmental monitoring with a lot of undeveloped potential due to the high dimensionality and complexity of the data. If temporal effects are studied, such as in a monitoring context, the an
Externí odkaz:
https://doaj.org/article/c4c3464786314c959ca72aaef91908ce
Autor:
Jonas Osterloff, Ingunn Nilssen, Ingvar Eide, Marcia Abreu de Oliveira Figueiredo, Frederico Tapajós de Souza Tâmega, Tim W Nattkemper
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0157329 (2016)
This paper presents a machine learning based approach for analyses of photos collected from laboratory experiments conducted to assess the potential impact of water-based drill cuttings on deep-water rhodolith-forming calcareous algae. This pilot stu
Externí odkaz:
https://doaj.org/article/44f19586c1b94dbc804d59d682bb782b
Autor:
Natalia Gomes dos Santos, Ståle Johnsen, Ingunn Nilssen, Rubens Cesar Lopes Figueira, Marcelo Montenegro Cabral, Frank Westad, Francisco Alves dos Santos, Márcia Caruso Bícego, Felipe Sales de Freitas, Ingvar Eide
Publikováno v:
Integrated Environmental Assessment and Management. 13:387-395
The present article describes integration of environmental monitoring and discharge data and interpretation using multivariate statistics, principal component analysis (PCA), and partial least squares (PLS) regression. The monitoring was carried out
Autor:
Marcia Vieira Reynier, Marcia Abreu de Oliveira Figueiredo, Alexandre B. Villas-Boas, Frederico Tapajós de Souza Tâmega, Ricardo Coutinho, Ståle Johnsen, Ingunn Nilssen, Carlos Gustavo Ferreira, Ingvar Eide
Publikováno v:
Marine Pollution Bulletin. 95:81-88
The impact of sediment coverage on two rhodolith-forming calcareous algae species collected at 100 m water depth off the coast of Brazil was studied in an experimental flow-through system. Natural sediment mimicking drill cuttings with respect to siz
Publikováno v:
ICCV Workshops
PUB-Publications at Bielefeld University
PUB-Publications at Bielefeld University
Vision based wildlife monitoring is an important task in the field of environmental monitoring. Wildlife monitoring activities often create large collections of data needing computational approaches to (semi-) automated detection and annotation of ob
Publikováno v:
ICPR
Vision based environmental monitoring using fixed cameras generates large image collections, creating a bottleneck in data analysis. In areas with limited background knowledge of the monitored habitat, this bottleneck can often not be overcome by tra
Autor:
Pål Buhl-Mortensen, Tim Wilhelm Nattkemper, Johanna Järnegren, Ingunn Nilssen, Jonas Osterloff
Publikováno v:
CVAUI@ICPR
Fixed underwater observatories (FUOs) equipped with a variety of sensors including cameras, allow long-term monitoring with a high temporal resolution of a limited area of interest. FUOs equipped with HD cameras enable in situ monitoring of biologica
Publikováno v:
CVAUI@ICPR
PUB-Publications at Bielefeld University
PUB-Publications at Bielefeld University
In recent years, a number of fixed long-term underwater observatories (FUO) have been deployed to monitor marine habitats over time. HD cameras deployed on FUOs enable vision based studies of long-term processes in the monitored habitats. However, in
Publikováno v:
OCEANS 2016 MTS/IEEE Monterey.
Fixed underwater observatories (FUOs) equipped with a variety of sensors including HD cameras, allow long-term monitoring with a high temporal resolution of a limited area of interest. FUOs enable in situ monitoring of visual features like size and c
Autor:
Ingvar, Eide, Frank, Westad, Ingunn, Nilssen, Felipe Sales, de Freitas, Natalia Gomes, Dos Santos, Francisco, Dos Santos, Marcelo Montenegro, Cabral, Marcia Caruso, Bicego, Rubens, Figueira, Ståle, Johnsen
Publikováno v:
Integrated environmental assessment and management. 13(2)
The present article describes integration of environmental monitoring and discharge data and interpretation using multivariate statistics, principal component analysis (PCA), and partial least squares (PLS) regression. The monitoring was carried out