Hyperspectral Imaging Techniques For Spectral Detection And Classification

By Felix Hueber. 2016

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An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis (2021, methodology): “6 was particularly selected in favor of other data sets in the sense that it is well-studied along with precise knowledge of spatial locations of all 19 R target panel pixels provided by ground truth [19], [23], [29], [32].”
A review of neural networks in plant disease detection using hyperspectral data (2018, methodology): “Hyperspectral imaging has been used for various applications such as detection, classiﬁcation, discrimination, identiﬁcation, and characterization [29,30].”
Full-Stokes Imaging Polarimetry Using Dielectric Metasurfaces (2018, unknown): “While spectral and hyperspectral imaging techniques provide information about the molecular and material composition of a scene [1, 2], polarimetric imaging contains information about the shape and texture of reflecting surfaces, the orientation of light emitters, or the optical activity of various ”
HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification (2019, background): “THE research in hyperspectral image (HSI) analysis is important due to its potential applications in real life [1].”