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Browsing Greinar- HÍ by Department "Rafmagns- og tölvuverkfræðideild (HÍ)"

Browsing Greinar- HÍ by Department "Rafmagns- og tölvuverkfræðideild (HÍ)"

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  • Ulfarsson, Magnus; Walters, G B; Gústafsson, O; Steinberg, S; Silva, A; Doyle, O M; Brammer, M; Gudbjartsson, Daniel; Arnarsdóttir, S; Jonsdottir, Gudbjorg; Gísladóttir, R S; Bjornsdottir, Gyda; Helgason, H; Ellingsen, L M; Halldórsson, J G; Sæmundsen, Evald E.; Stefánsdóttir, B; Jónsson, L; Eiríksdóttir, V K; Eiríksdóttir, G R; Jóhannesdóttir, G H; Unnsteinsdóttir, U; Jónsdóttir, B; Magnúsdóttir, B B; sulem, patrick; Þorsteinsdóttir, Unnur; Sigurðsson, E; Brandeis, D; Meyer-Lindenberg, A; Stefánsson, H; Stefansson, Kari (Springer Nature, 2017-04-25)
    Several copy number variants have been associated with neuropsychiatric disorders and these variants have been shown to also influence cognitive abilities in carriers unaffected by psychiatric disorders. Previously, we associated the 15q11.2(BP1–BP2) ...
  • Aufaristama, Muhammad; Höskuldsson, Ármann; Ulfarsson, Magnus; Jónsdóttir, Ingibjörg; Thordarson, Thorvaldur (MDPI AG, 2019-02-26)
    The Holuhraun lava flow was the largest effusive eruption in Iceland for 230 years, with an estimated lava bulk volume of ~1.44 km3 and covering an area of ~84 km2. The six month long eruption at Holuhraun 2014–2015 generated a diverse surface environment. ...
  • Lv, Zhiyong; Zhang, Penglin; Benediktsson, Jon Atli (MDPI AG, 2017-03-17)
    Aerial image classification has become popular and has attracted extensive research efforts in recent decades. The main challenge lies in its very high spatial resolution but relatively insufficient spectral information. To this end, spatial-spectral ...
  • Ghamisi, Pedram; Souza, Roberto; Benediktsson, Jon Atli; Zhu, Xiao Xiang; Rittner, Leticia (IEEE, 2016-07-18)
    Email Print Request Permissions With respect to recent advances in remote sensing technologies, the spatial resolution of airborne and spaceborne sensors is getting finer, which enables us to precisely analyze even small objects on the Earth. This ...
  • Ghamisi, Pedram; Benediktsson, Jon Atli (IEEE Geoscience & Remote Sensing Society, 2015-02)
    A new feature selection approach that is based on the integration of a genetic algorithm and particle swarm optimization is proposed. The overall accuracy of a support vector machine classifier on validation samples is used as a fitness value. The new ...
  • Pedersen, Gro; Belart, Joaquín M. C.; Magnússon, Eyjólfur; Vilmundardóttir, Olga Kolbrún; Kizel, Fadi; Sigurmundsson, Friðþór Sófus; Gísladóttir, Guðrún; Benediktsson, Jon Atli (American Geophysical Union (AGU), 2018-02-22)
    Lava flow thicknesses, volumes, and effusion rates provide essential information for understanding the behavior of eruptions and their associated deformation signals. Preeruption and posteruption elevation models were generated from historical stereo ...
  • Pedersen, Gro; Montalvo, Jorge; Einarsson, Páll; Vilmundardóttir, Olga Kolbrún; Sigurmundsson, Friðþór Sófus; Belart, Joaquín M. C.; Hjartardottir, Asta Rut; Kizel, Fadi; Rustowicz, Rose; Falco, Nicola; Gísladóttir, Guðrún; Benediktsson, Jon Atli (Iceland Glaciological Society and Geoscience Society of IcelandJöklarannsóknafélags Íslands og Jarðfræðafélags Íslands, 2018)
    Hekla volcano is known to have erupted at least 23 times in historical time (last 1100 years); often producing mixed eruptions of tephra and lava. The lava flow volumes from the 20th century have amounted 80% to almost 100% of the entire erupted ...
  • Huang, Zhihong; Li, Shutao; Fang, Leyuan; Li, Huali; Benediktsson, Jon Atli (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Hyperspectral image (HSI) is usually corrupted by various types of noise, including Gaussian noise, impulse noise, stripes, deadlines, and so on. Recently, sparse and low-rank matrix decomposition (SLRMD) has demonstrated to be an effective tool in ...
  • Palsson, Burkni; Sigurdsson, Jakob; Sveinsson, Jóhannes Rúnar; Ulfarsson, Magnus (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    In this paper, we present a deep learning based method for blind hyperspectral unmixing in the form of a neural network autoencoder. We show that the linear mixture model implicitly puts certain architectural constraints on the network, and it effectively ...
  • Benediktsson, Jon Atli; Ghamisi, Pedram; Couceiro, Micael S.; Fauvel, Mathieu (IEEE, 2014)
    A new spectral-spatial method for classification of hyperspectral images is introduced. The proposed approach is based on two segmentation methods, fractional-order Darwinian particle swarm optimization and mean shift segmentation. The output of these ...
  • Lv, Zhiyong; Liu, Tongfei; Zhang, Penglin; Benediktsson, Jon Atli; Chen, Yixiang (MDPI AG, 2018-06-08)
    Land cover change detection (LCCD) based on bi-temporal remote sensing images plays an important role in the inventory of land cover change. Due to the benefit of having spatial dependency properties within the image space while using remote sensing ...
  • Benediktsson, Jon Atli; Ghamisi, Pedram; Martins, Fernando M. L.; Couceiro, Micael S. (IEEE, 2014)
    Hyperspectral remote sensing images contain hundreds of data channels. Due to the high dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such imagery. In this paper, a new ...
  • Lv, ZhiYong; Liu, TongFei; Benediktsson, Jon Atli; Lei, Tao; Wan, YiLiang (MDPI AG, 2018-11-15)
    To improve the performance of land-cover change detection (LCCD) using remote sensing images, this study utilises spatial information in an adaptive and multi-scale manner. It proposes a novel multi-scale object histogram distance (MOHD) to measure the ...
  • Aufaristama, Muhammad; Höskuldsson, Ármann; Jónsdóttir, Ingibjörg; Ulfarsson, Magnus; Thordarson, Thorvaldur (MDPI AG, 2018-01-20)
    A new lava field was formed at Holuhraun in the Icelandic Highlands, north of Vatnajökull glacier, in 2014–2015. It was the largest effusive eruption in Iceland for 230 years, with an estimated lava bulk volume of ~1.44 km3 covering an area of ~84 km2. ...
  • Rasti, Behnood; Scheunders, Paul; Ghamisi, Pedram; Licciardi, Giorgio; Chanussot, Jocelyn (MDPI AG, 2018-03-20)
    Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The received radiance at the sensor is usually degraded by atmospheric effects and instrumental (sensor) ...
  • Ghamisi, Pedram; Ali, Abder-Rahman; Couceiro, Micael S.; Benediktsson, Jon Atli (IEEE, 2015)
    In land cover assessment, classes often gradually change from one to another. Therefore, it is difficult to allocate sharp boundaries between different classes of interest. To overcome this issue and model such conditions, fuzzy techniques that resemble ...
  • Benediktsson, Jon Atli; Ghamisi, Pedram; Couceiro, Micael S. (IEEE, 2015-05)
    A novel feature selection approach is proposed to address the curse of dimensionality and reduce the redundancy of hyperspectral data. The proposed approach is based on a new binary optimization method inspired by fractional-order Darwinian particle ...
  • Lv, Zhiyong; Shi, Wenzhong; Benediktsson, Jon Atli; Xiaojuan, Ning (MDPI AG, 2016-12-15)
    Land cover classification using very high spatial resolution (VHSR) imaging plays a very important role in remote sensing applications. However, image noise usually reduces the classification accuracy of VHSR images. Image spatial filters have been ...
  • Vilmundardóttir, Olga Kolbrún; Sigurmundsson, Friðþór Sófus; Pedersen, Gro; Belart, Joaquín M. C.; Kizel, Fadi; Falco, Nicola; Benediktsson, Jon Atli; Gísladóttir, Guðrún (SAGE Publications, 2018-10-07)
    Lava flows pose a hazard in volcanic environments and reset ecosystem development. A succession of dated lava flows provides the possibility to estimate the direction and rates of ecosystem development and can be used to predict future development. We ...
  • Benediktsson, Jon Atli; Cavallaro, Gabriele; Riedel, Morris; Richerzhagen, Matthias; Plaza, Antonio (IEEE, 2015)
    Owing to the recent development of sensor resolutions onboard different Earth observation platforms, remote sensing is an important source of information for mapping and monitoring natural and man-made land covers. Of particular importance is the ...