Forest mapping: a comparison between hyperspectral and multispectral images and technologies
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Forestry Research"
DOI: 10.1007/s11676-017-0528-y
Abstract: Mapping forests is an important process in managing natural resources. At present, due to spectral resolution limitations, multispectral images do not give a complete separation between different forest species. In contrast, advances in remote sensing… read more here.
Keywords: forest mapping; multispectral images; hyperspectral multispectral; spectral signatures ... See more keywords
Enhancing the spectral signatures of ultrasonic fluidic transducer pulses for improved time-of-flight measurements.
Sign Up to like & getrecommendations! Published in 2021 at "Ultrasonics"
DOI: 10.1016/j.ultras.2021.106612
Abstract: Air-coupled ultrasonic (ACU) testing has proven to be a valuable method for increasing the speed in non-destructive ultrasonic testing and the investigation of sensitive specimens. A major obstacle to implementing ACU methods is the significant… read more here.
Keywords: enhancing spectral; time; spectral signatures; air ... See more keywords
Capturing intrinsic site-dependent spectral signatures and lifetimes of isolated OH oscillators in extended water networks
Sign Up to like & getrecommendations! Published in 2019 at "Nature Chemistry"
DOI: 10.1038/s41557-019-0376-9
Abstract: The extremely broad infrared spectrum of water in the OH stretching region is a manifestation of how profoundly a water molecule is distorted when embedded in its extended hydrogen-bonding network. Many effects contribute to this… read more here.
Keywords: intrinsic site; water; isolated oscillators; site dependent ... See more keywords
Identifying task-relevant spectral signatures of perceptual categorization in the human cortex
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-64243-6
Abstract: Human brain has developed mechanisms to efficiently decode sensory information according to perceptual categories of high prevalence in the environment, such as faces, symbols, objects. Neural activity produced within localized brain networks has been associated… read more here.
Keywords: categorization; task; task relevant; human brain ... See more keywords
fMRI spectral signatures of sleep
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2016732119
Abstract: Significance The conventional wisdom that sleep is a global state, affecting the whole brain uniformly and simultaneously, was overturned by the discovery of local sleep, where individual neuronal populations were found to be asleep and… read more here.
Keywords: fmri spectral; spectral signatures; signatures sleep; brain ... See more keywords
Development of spectral signatures and classification using hyperspectral face recognition
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Interdisciplinary Mathematics"
DOI: 10.1080/09720502.2020.1731957
Abstract: Abstract Hyperspectral facial dataset represent innovative statistics, as compared to the traditional images and control the statistics in the subbands of Electromagnetic Spectrum (EMS) over a continuous range and produce the spectral libraries of all… read more here.
Keywords: development spectral; signatures classification; face; spectral signatures ... See more keywords
A 3D-CNN Framework for Hyperspectral Unmixing with Spectral Variability
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3141387
Abstract: Hyperspectral unmixing plays an important role in hyperspectral image processing and analysis. It aims to decompose mixed pixels into pure spectral signatures and their associated abundances. The hyperspectral image contains spatial information in neighborhood regions,… read more here.
Keywords: cnn framework; spectral signatures; framework; variability ... See more keywords
Detecting myrtle rust (Austropuccinia psidii) on lemon myrtle trees using spectral signatures and machine learning
Sign Up to like & getrecommendations! Published in 2018 at "Plant Pathology"
DOI: 10.1111/ppa.12830
Abstract: Hundreds of species in one of Australia's dominant plant families, the Myrtaceae, are at risk from the invasive pathogenic fungus Austropuccinia psidii. Since its arrival in Australia in 2010, native plant communities have been severely… read more here.
Keywords: austropuccinia psidii; psidii; myrtle trees; lemon myrtle ... See more keywords
Mapping of spectral signatures with snapshot spectral imaging.
Sign Up to like & getrecommendations! Published in 2017 at "Applied optics"
DOI: 10.1364/ao.56.004309
Abstract: We propose a snapshot spectral imaging method that enables direct reconstruction of spatial maps for spectral signatures of given materials using a monochromatic image sensor. An image-plane array of dispersive shapers converts an aerial image… read more here.
Keywords: image; spectral imaging; signatures snapshot; spectral signatures ... See more keywords
Plasmonic heterodyne spectrometry for resolving the spectral signatures of ammonia over a 1-4.5 THz frequency range.
Sign Up to like & getrecommendations! Published in 2019 at "Optics express"
DOI: 10.1364/oe.27.036838
Abstract: We present a heterodyne terahertz spectrometry platform based on plasmonic photomixing, which enables the resolution of narrow spectral signatures of gases over a broad terahertz frequency range. This plasmonic heterodyne spectrometer replaces the terahertz mixer… read more here.
Keywords: plasmonic heterodyne; spectrometry; frequency range; heterodyne ... See more keywords
Driving drowsiness detection using spectral signatures of EEG-based neurophysiology
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2023.1153268
Abstract: Introduction: Drowsy driving is a significant factor causing dire road crashes and casualties around the world. Detecting it earlier and more effectively can significantly reduce the lethal aftereffects and increase road safety. As physiological conditions… read more here.
Keywords: driving drowsiness; spectral signatures; detection using; brain ... See more keywords