| layout | title | permalink |
|---|---|---|
page |
Publications |
/publications/ |
Google scholar publication statistics
- S. Bakken, J. Wei, Z. Lee, G. Johnsen, T. A. Johansen, J. Montoya, A. Subramaniam, [Hyperspectral Remote Sensing of the Amazon River Plume]({% link _pdfs/os_poster.pdf %}), Ocean Sciences Meeting, accepted, 2020
-
M. Lapadatu, S. Bakken, M. E. Grøtte, M. Alver, T. A. Johansen, [Simulation tool for hyper-spectral imaging from a satellite]({% link _pdfs/monica_paper.pdf %}), 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, 2019
-
S. Bakken, M. Orlandic, T. A. Johansen, [The effect of dimensionality reduction on signature-based target detection for hyperspectral remote sensing]({% link _pdfs/spie2019.pdf %}), SPIE Optical Engineering + Applications Conference, CubeSats and SmallSats for Remote Sensing III, San Diego, 2019; http://dx.doi.org/10.1117/12.2529141
-
D. Bošković, M. Orlandić, S. Bakken and T. A. Johansen, [HW/SW Implementation of Hyperspectral Target Detection Algorithm]({% link _pdfs/meco.pdf%}), 8th Mediterranean Conference on Embedded Computing – MECO, Montenegro, 2019
-
M. Lapadatu, [Simulation tool and analysis for hyperspectral imaging of algal blooms from satellites]({% link _pdfs/monica_msc.pdf %}), Master thesis, 2019
-
S. Bakken, [Dimensionality Reduction and Target Detection in Hyperspectral Remote Sensing]({% link _pdfs/sivert_msc.pdf %}), Master thesis, 2018
-
S. Bakken, [Radiometric calibration of ocean color remote sensing instruments]({% link _pdfs/sivert_project.pdf %}), Project thesis, 2017