Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX 2023
DOI: 10.1117/12.2663195
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Spectral variability modeling with variational auto-encoders for hyperspectral target analysis

Abstract: Performance of hyperspectral target detection algorithms is determined by the spectral variability and separability of target and background materials within the scene. Practical matched filter detectors typically utilize only background statistics due to the assumed rarity of target materials. Background materials are additionally modeled scene-wide as Gaussian, which allows for straightforward estimation of statistics but oversimplifies the complex manifold on which spectra are typically distributed. These s… Show more

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