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Daniel Gedalin
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Author
Publications (4)
Proceedings Article | 20 August 2020 Presentation
Deep learning for compressive hyperspectral sensing
Proceedings Volume 11504, 115040E (2020) https://doi.org/10.1117/12.2568596
KEYWORDS: Hyperspectral sensing, Imaging systems, Compressed sensing, Hyperspectral imaging, Data acquisition, Signal to noise ratio, Image restoration, Target detection
Proceedings Article | 19 September 2019 Paper
On the robustness of compressive sensing hyperspectral image reconstruction using convolutional neural network
Proceedings Volume 11169, 111690L (2019) https://doi.org/10.1117/12.2533113
KEYWORDS: Compressed sensing, Hyperspectral imaging, Reconstruction algorithms, Target detection, Convolutional neural networks, Neural networks
Proceedings Article | 4 October 2017 Paper
Target detection with compressive sensing hyperspectral images
Proceedings Volume 10427, 104270O (2017) https://doi.org/10.1117/12.2277186
KEYWORDS: Target detection, Detection and tracking algorithms, Compressed sensing, Liquid crystals, Imaging systems, Signal detection, Hyperspectral imaging, Multiplexing, Compressive imaging, Spectral imaging cameras, Hyperspectral target detection
SPIE Journal Paper | 9 January 2017
Performance of target detection algorithm in compressive sensing miniature ultraspectral imaging compressed sensing system
OE, Vol. 56, Issue 04, 041312, (January 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.4.041312
KEYWORDS: Detection and tracking algorithms, Target detection, Compressed sensing, Multiplexing, Imaging systems, Sensing systems, Reconstruction algorithms, Miniature imaging systems, Liquid crystals, Computing systems
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