Results 131 to 140 of about 36,270 (292)
Abstract Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins.
Natalie C. Hall +7 more
wiley +1 more source
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery. [PDF]
Tagliabue G +11 more
europepmc +1 more source
Bathymetry from hyperspectral imagery
This work used hyperspectral imagery to derive shallow water depth estimates. A technique to classify substrates and estimate reflectance values for the substrate types is the major contributions of this work. This was accomplished by masking different bottom types based on spectra, effects that were not included in previous methods.
openaire +1 more source
Abstract Coral bleaching, the breakdown of the symbiosis between the coral host and endosymbiotic microalgae, is the main cause of widespread coral reef degradation. Current visual assessment methods for coral health, including color reference cards, are constrained by subjective human color perception and limited resolution.
Erik Francesco Ferrara +12 more
wiley +1 more source
Classification of Toona sinensis Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery. [PDF]
Wu H +5 more
europepmc +1 more source
Uncertainty assessment for a novel optically shallow water radiometric acquisition platform
Abstract We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along with a suite of active and passive instruments (conductivity‐temperature‐depth, fluorescence,
Raphaël Mabit +2 more
wiley +1 more source
The paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs),
Touhid Islam +3 more
doaj +1 more source
The synergic approach between machine learning, chemometrics, and NIR hyperspectral imagery for a real-time, reliable, and accurate prediction of mass loss in cement samples. [PDF]
Diane A, Saffaj T, Ihssane B, Rabie R.
europepmc +1 more source
NIR/VIS Dual‐Comb Spectroscopy Comparing High and Low Repetition Rate Regimes
This work compares dual‐comb spectroscopy at lower and higher repetition rates, emphasizing the inherent trade‐off between spectral and temporal resolution. The 80 MHz system provides high‐resolution spectra suitable for analyzing complex molecular structures, whereas the free‐running 1 GHz platform enables fast measurements for real‐time trace gas ...
Alexander Eber +6 more
wiley +1 more source
Polysaccharide determination and habitat classification for fresh Dendrobiums with hyperspectral imagery and modified RBFNN. [PDF]
Wei Y, Hu W, Wu F, He Y.
europepmc +1 more source

