Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science. [PDF]
Tran Ba V +11 more
europepmc +1 more source
Satellite‐Based Assessment of Methane Emissions From the Darvaza Gas Crater
Abstract Methane is a potent greenhouse gas, and the Darvaza crater in Turkmenistan is a rare, persistent emitter. There are uncertainties regarding its formation date (either 1963 or 1971), fire ignition, and the fire's influence on methane release. Using historical Landsat imagery, we reconstruct the fire history, identifying that combustion began ...
Adriana Valverde +5 more
wiley +1 more source
Personal identification using a cross-sectional hyperspectral image of a hand. [PDF]
Suzuki T.
europepmc +1 more source
A Dense Pyramidal Residual Network with a Tandem Spectral-Spatial Attention Mechanism for Hyperspectral Image Classification. [PDF]
Guan Y, Li Z, Wang N.
europepmc +1 more source
Segmentation-based deep 2D-3D multibranch learning approach for effective hyperspectral image classification. [PDF]
Ahmed T +4 more
europepmc +1 more source
HyperKAN: Kolmogorov-Arnold Networks Make Hyperspectral Image Classifiers Smarter. [PDF]
Firsov N +7 more
europepmc +1 more source
Hyperspectral image wavelength band and texture characteristics related to elasticity values for each body part for non-invasive skin elasticity analysis. [PDF]
Kim J, Lee O.
europepmc +1 more source
A broadband hyperspectral image sensor with high spatio-temporal resolution. [PDF]
Bian L +11 more
europepmc +1 more source
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Enhancing hyperspectral imaging
Nature Machine Intelligence, 2021Hyperspectral imaging can reveal important information without the need for staining. To extract information from this extensive data, however, new methods are needed that can interpret the spatial and spectral patterns present in the images.
Rohit Bhargava, Kianoush Falahkheirkhah
openaire +1 more source
Compressive Hyperspectral Imaging
Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), 2023Conventional 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

