Results 281 to 290 of about 204,035 (336)

Overcoming difficulties in segmentation of hyperspectral plant images with small projection areas using machine learning. [PDF]

open access: yesSci Rep
Neuwirthová E   +9 more
europepmc   +1 more source

Compressive Hyperspectral Imaging

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), 2023
Conventional hyperspectral cameras encounter a trade-off between spatial and spectral samplings while capturing an input scene. To address this problem, we propose two imaging systems: Hyperspectral Light Field Tomography (Hyper-LIFT) and Tunable Image Projection Spectrometry (TIPS).
Qi Cui, Liang Gao
openaire   +1 more source

Snapshot hyperspectral imaging

Integrated Computational Imaging Systems, 2001
Hyperspectral imaging associates a densely sampled spectral signature with each pixel in an imager’s field of view. The collected image data are in the form of a three-dimensional data set, i.e., an image cube. The image cube is also referred to as a hypercube or an object cube.
M.R. Descour   +5 more
openaire   +1 more source

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