Results 131 to 140 of about 75,553 (263)
Remote Sensing in Ecology and Conservation, EarlyView.Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden +8 more
wiley +1 more source
Small Methods, EarlyView.Residual stresses in Tiger’s Eye quartz have been mapped by combining Raman spectroscopy and electron back scatter diffraction. The study quantified stress distributions likely formed during cooling due to the anisotropy of thermal contraction. This non‐destructive methodology provides a reliable baseline for mapping stress in both natural polycrystals
Genevieve C. Kidman +4 more
wiley +1 more source
Raman Microspectroscopy for Structural Indication in Ultrafast Laser Writing
Small Methods, EarlyView.Raman microspectroscopy is demonstrated as an in situ, phase‐specific probe for femtosecond laser fabrication in diamond. Multiple spectral indicators are systematically evaluated and correlated with electrical performance, establishing a robust methodology for process monitoring.
Xingrui Cheng +5 more
wiley +1 more source
VIEW, EarlyView.In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou +10 more
wiley +1 more source
Dehazing in hyperspectral images: the GRANHHADA database. [PDF]
Sci Rep, 2023 Carvelo SF +3 more
europepmc +1 more source
A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan +5 more
wiley +1 more source
مهندسی مخابرات جنوبFeature extraction has a valuable role in hyperspectral images processing. In recent years, various methods have been presented to extract efficient features of hyperspectral images.
Ehsan Dashtifard +3 more
doaj
MSFFNet: Multiscale Feature Fusion Network for Small Target Detection in Remote Sensing Images
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT With the advancement of satellite remote sensing technology, object detection based on high‐resolution remote sensing imagery has emerged as a prominent research focus in the field of computer vision. Although numerous algorithms have been developed for remote sensing image object detection, they still suffer from challenges such as low ...
Hui Zong +5 more
wiley +1 more source
Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks. [PDF]
J ImagingKeshavarz A +4 more
europepmc +1 more source
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves +8 more
wiley +1 more source