Results 81 to 90 of about 57,543 (231)
Generalized linear mixing model accounting for endmember variability
, 2017 Endmember variability is an important factor for accurately unveiling vital information relating the pure materials and their distribution in hyperspectral images.
Bermudez, José Carlos Moreira +2 more
core +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean +4 more
wiley +1 more source
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
Remote Sensing, 2017 White matter hyperintensities (WMHs) are closely related to various geriatric disorders including cerebrovascular diseases, cardiovascular diseases, dementia, and psychiatric disorders of elderly people, and can be generally detected on T2 weighted (T2W)
Hsian-Min Chen +9 more
doaj +1 more source
A fuzzy spectral clustering algorithm for hyperspectral image classification
IET Image Processing, 2021 Spectral clustering is an unsupervised clustering algorithm, and is widely used in the field of pattern recognition and computer vision due to its good clustering performance.
Kang Li +3 more
doaj +1 more source
Discrimination of fungal disease infestation in oil-palm canopy hyperspectral reflectance data [PDF]
, 2009 This study focuses on the calibration of a statistical model of discrimination between different stages of a fungal disease attack on oil palm, based on field hyperspectral measurements at the canopy scale.
Brégand, Simon +7 more
core
SERS‐Based Nano‐ and Microsystems Toward Biomedical Applications
Small, EarlyView.This review provides a current overview of nano‐ and microscale SERS‐based devices, encompassing all aspects from material design to practical applications. We highlight controlled SERS‐active architectures, including patterned substrates, nanorods, microspheres, micromotors, and microneedles, as well as combinations of these microfluidic systems.
Gohar Soufi +14 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingFusing low-resolution hyperspectral images (HSI) with high-resolution multispectral images (MSI) has become a promising technique for generating high-resolution HSI, effectively addressing the low spatial resolution limitations of hyperspectral data ...
Jia Jia +5 more
doaj +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
Multiscale NMF based on intra-pixel and inter-pixel structure adjustment for spectral unmixing
International Journal of Applied Earth Observations and GeoinformationVarious improved nonnegative matrix factorization (NMF) methods have been widely used in spectral unmixing (SU), including nonlinear versions to counter for the lower spatial resolution and interaction between materials.
Tingting Yang +3 more
doaj +1 more source