9 citations · 14 across the 3 of their papers we have counts for
4 papers
Quick unsupervised hyperspectral dimensionality reduction for earth observation: a comparison
Daniela Lupu, Joseph L. Garrett, Tor Arne Johansen +2
Dimensionality reduction can be applied to hyperspectral images so that the most useful data can be extracted and processed more quickly. This is critical in any situation in which…
Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images
Jon Alvarez Justo, Milica Orlandic
Hyperspectral Imaging (HSI) is used in a wide range of applications such as remote sensing, yet the transmission of the HS images by communication data links becomes challenging du…
A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction
Jon Alvarez Justo, Daniela Lupu, Milica Orlandic +2
Hyperspectral Imaging comprises excessive data consequently leading to significant challenges for data processing, storage and transmission. Compressive Sensing has been used in th…
The Syncline Model -- Analyzing the Impact of Time Synchronization in Sensor Fusion
Erling Rennemo Jellum, Torleiv Håland Bryne, Tor Arne Johansen +1
The accuracy of sensor fusion algorithms are limited by either the intrinsic sensor noise, or by the quality of time synchronization of the sensors. While the intrinsic sensor nois…