Global spectral irradiance array spectroradiometer validation according to WMO
Sign Up to like & getrecommendations! Published in 2018 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/aada34
Abstract: Solar spectral irradiance measured by two recently developed array spectroradiometers (called UV-BTS and VIS-BTS) are compared to the results of a scanning double monochromator system which is certified as a travelling reference instrument by the… read more here.
Keywords: irradiance; vis bts; global spectral; array spectroradiometer ... See more keywords
Multilayer Global Spectral–Spatial Attention Network for Wetland Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3133454
Abstract: Coastal wetland monitoring plays an important role in the protection and restoration of ecosystems in this world. UAV-hyperspectral imaging, as an emerging technique for Earth observation and space exploration, provides the huge potential ability to… read more here.
Keywords: spectral spatial; global spectral; classification; network ... See more keywords
MsGsFNet: A Multiscale Spatial and Global Spectral Information Fusion Network for UAV-H² Imagery Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3590374
Abstract: UAVs equipped with hyperspectral imaging systems can capture high spatial and spectral resolution (H2) imagery, providing detailed information about ground objects. However, high spatial and spectral resolutions increase spatial heterogeneity and spectral variability, which pose… read more here.
Keywords: classification; information; global spectral; spatial global ... See more keywords
Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2024.1499875
Abstract: Spectral analysis is a widely used method for monitoring photosynthetic capacity. However, vegetation indices-based linear regression exhibits insufficient utilization of spectral information, while full spectra-based traditional machine learning has limited representational capacity (partial least squares… read more here.
Keywords: deep learning; photosynthetic capacity; vegetation indices; global spectral ... See more keywords