Results 111 to 120 of about 12,889,375 (285)
HoloSpec: Dispersion‐Based 4D Computational Holographic Hyperspectral Imaging
HoloSpec, a compact dispersion‐based computational holographic system, achieves four‐dimensional imaging by retrieving 3D spatial structure and high‐resolution spectra from only two monochromatic snapshots. Using a single prism and a monochrome sensor, it resolves 430 spectral channels with 3 nm experimental resolution and 30 μm$\mathrm{\mu}\mathrm{m}$
Jingyan Chen +3 more
wiley +1 more source
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis
The use of a pretrained image classification model (trained on cats and dogs, for example) as a perceptual loss function for hyperspectral super-resolution and pansharpening tasks is surprisingly effective.
Daniel La’ah Ayuba +3 more
doaj +1 more source
Regularized Fuzzy Discriminant Analysis for Hyperspectral Image Classification With Noisy Labels
Numerous studies have been conducted for hyperspectral image (HSI) classification by assuming that the label information of training data is fully available and correct.
Shan Zeng +5 more
doaj +1 more source
Uptake, metabolism, and bioremediation of neonicotinoid insecticides in soil–plant systems: A review
This review summarizes the uptake and metabolic transformation of neonicotinoid insecticides in plants, showing that some metabolites exhibit higher toxicity. We also critically assess promising bioremediation strategies using microbes and plant–microbe interactions to reduce residue contamination.
Wenwen Guo +5 more
wiley +1 more source
A recipe for recovery: diet as a decisive tool in species conservation
Animals consume foods in specific quantities and ratios to meet a multi‐dimensional nutrient target that maximizes their fitness. Attempts to reach this target in an ever‐changing nutritional landscape often influence animal foraging behavior, habitat choice, and food‐web interactions. Consequently, understanding the nutritional ecology of a species is
Noa Lavie +3 more
wiley +1 more source
From wild to tamed: Reimagining novel crops through omics and local plant diversity
The global food system faces growing pressure from climate change, biodiversity loss, and rising nutritional demands. Agriculture has increased yields but reduced crop diversity, flavor, and nutritional quality, leaving societies vulnerable and dependent on a narrow set of staple species.
Alexandra Sanfeliu Meliá +1 more
wiley +1 more source
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
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin +2 more
wiley +1 more source
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román +8 more
wiley +1 more source
Abstract With the advancement of remote sensing technology, the accuracy of satellite remote sensing data has continuously improved, and the precision of large‐scale soil and water conservation monitoring has steadily increased. However, owing to differences in sensor acquisition and processing methods, monitoring data obtained through various ...
Wenxiang Liu +4 more
wiley +1 more source

