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
Author Correction: Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast. [PDF]
Sci Rep, 2021 Clarke K +8 more
europepmc +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
Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast. [PDF]
Sci Rep, 2021 Clarke K +8 more
europepmc +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
A Search Method for Optimal Band Combination of Hyperspectral Imagery Based on Two Layers Selection Strategy. [PDF]
Comput Intell Neurosci, 2021 Chen N, Lu K, Zhou H.
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
Classifying Hyperspectral Imageries
International Journal for Research in Applied Science and Engineering Technology, 2017 openaire +1 more source
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
Exploring the Potential of HySpex Hyperspectral Imagery for Extraction of Copper Content. [PDF]
Sensors (Basel), 2020 Jiang G +7 more
europepmc +1 more source