Compressive Hyperspectral Imaging and Anomaly Detection

2013 ◽  
Author(s):  
Pradeep Thiyanarantnam ◽  
Stanley Osher ◽  
Susan Chen ◽  
Wotao Yin ◽  
Kevin Kelly
Keyword(s):  
Anomaly Detection ◽  
Hyperspectral Imaging

scholarly journals Convolutional neural network target detection in hyperspectral imaging for maritime surveillance

2019 ◽  
Vol 16 (3) ◽  
pp. 172988141984299
Author(s):  
Sara Freitas ◽  
Hugo Silva ◽  
José Miguel Almeida ◽  
Eduardo Silva
Keyword(s):  
Neural Network ◽  
Anomaly Detection ◽  
Convolutional Neural Network ◽  
Unmanned Aerial Vehicles ◽  
Hyperspectral Imaging ◽  
Imaging System ◽  
Spectral Angle Mapper ◽  
Maritime Surveillance ◽  
Aerial Vehicles ◽  
Spectral Angle

This work addresses a hyperspectral imaging system for maritime surveillance using unmanned aerial vehicles. The objective was to detect the presence of vessels using purely spatial and spectral hyperspectral information. To accomplish this objective, we implemented a novel 3-D convolutional neural network approach and compared against two implementations of other state-of-the-art methods: spectral angle mapper and hyperspectral derivative anomaly detection. The hyperspectral imaging system was developed during the SUNNY project, and the methods were tested using data collected during the project final demonstration, in São Jacinto Air Force Base, Aveiro (Portugal). The obtained results show that a 3-D CNN is able to improve the recall value, depending on the class, by an interval between 27% minimum, to a maximum of over 40%, when compared to spectral angle mapper and hyperspectral derivative anomaly detection approaches. Proving that 3-D CNN deep learning techniques that combine spectral and spatial information can be used to improve the detection of targets classification accuracy in hyperspectral imaging unmanned aerial vehicles maritime surveillance applications.

Security inspection in ports by anomaly detection using hyperspectral imaging technology

2013 ◽  
Author(s):  
Javier Rivera ◽  
Fernando Valverde ◽  
Manuel Saldaña ◽  
Vidya Manian
Keyword(s):  
Anomaly Detection ◽  
Hyperspectral Imaging ◽  
Imaging Technology ◽  
Security Inspection

scholarly journals Robust anomaly detection in Hyperspectral Imaging

2014 ◽  
Author(s):  
J. Frontera-Pons ◽  
M. A. Veganzones ◽  
S. Velasco-Forero ◽  
F. Pascal ◽  
J. P. Ovarlez ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Hyperspectral Imaging

scholarly journals Anomaly detection for replacement model in hyperspectral imaging

2021 ◽  
Vol 185 ◽  
pp. 108079
Author(s):  
Francois Vincent ◽  
Olivier Besson ◽  
Stefania Matteoli
Keyword(s):  
Anomaly Detection ◽  
Hyperspectral Imaging ◽  
Replacement Model

Hyperspectral Imaging Remote Sensing

2016 ◽  
Author(s):  
Dimitris Manolakis ◽  
Ronald Lockwood ◽  
Thomas Cooley
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imaging
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