Airborne Hyperspectral Imagery for Band Selection Using Moth-Flame Metaheuristic Optimization. [PDF]
J Imaging, 2022 Anand R +4 more
europepmc +1 more source
Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance.
PLoS ONE, 2015 This study proposed the use of satellite hyperspectral imagery to support tick-borne infectious diseases surveillance based on monitoring the variation in amplifier hosts food sources.
Gina Polo +2 more
doaj +1 more source
Bio‐inspired nanophotonics: Structural color, chirality, and resonance metasurfaces
InfoMat, EarlyView.A butterfly‐wing‐inspired anisotropic plasmonic flatband resonant metasurface. Insets, photo of the butterfly, Sasakia charonda, and the SEM image of its wing scale (above); the SEM image of the metasurface (below). Abstract The dazzling colors of butterfly wings and hummingbird feathers are not painted with pigments, but crafted by nature's invisible ...
Weihan Liu, Yao Liang, Din Ping Tsai
wiley +1 more source
Assessing Grapevine Biophysical Parameters From Unmanned Aerial Vehicles Hyperspectral Imagery. [PDF]
Front Plant Sci, 2022 Matese A +4 more
europepmc +1 more source
Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral imagery provides rich spectral information, but commonly suffers from low spatial resolution. This problem can be addressed with hyperspectral pansharpening, which benefits from a high-resolution (HR) panchromatic (PAN) image to enhance the
Maciej Ziaja +4 more
doaj +1 more source
Reidite Formation From Zircon Subjected to 20, 40, and 60 GPa Shock Experiments
Journal of Raman Spectroscopy, EarlyView.Structure disordering as a result of shock pressure: In zircon shocked from 20 to 60 GPa, the shock‐induced structural disorder increases with increasing shock pressure (gray area). Shock disorder of zircon is an integral part of its transformation to reidite: Reidite occurs after amorphous material.
Dmitry A. Zamyatin, Elizaveta Kovaleva
wiley +1 more source
Identification and Classification of Small Sample Desert Grassland Vegetation Communities Based on Dynamic Graph Convolution and UAV Hyperspectral Imagery. [PDF]
Sensors (Basel), 2023 Zhang T, Bi Y, Zhu X, Gao X.
europepmc +1 more source
A Review of Virtual Dimensionality for Hyperspectral Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 Virtual dimensionality (VD) is originally defined as the number of spectrally distinct signatures in hyperspectral data. Unfortunately, there is no provided specific definition of what “spectrally distinct signatures” are. As a result, many techniques developed to estimate VD have produced various values for VD with different interpretations.
openaire +1 more source
Journal of Raman Spectroscopy, EarlyView.Confocal Raman microscopy combined with multivariate analysis distinguishes cisplatin‐resistant and ‐sensitive tubo‐ovarian high‐grade serous carcinoma cell lines. ABSTRACT Chemoresistance is a major obstacle to effective cancer treatment, particularly in tubo‐ovarian high‐grade serous carcinoma (HGSC), the most lethal gynaecological malignancy ...
Elina Harju +13 more
wiley +1 more source
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery. [PDF]
ISPRS J Photogramm Remote Sens, 2022 Tagliabue G +11 more
europepmc +1 more source