Results 91 to 100 of about 98,568 (293)
Hyperspectral Imaging Techniques in Search of Geologic Hydrogen: A Review
New energy sources are crucial for powering next-generation transportation and supplying reliable energy in remote regions. Hydrogen is an attractive energy carrier because its utilization produces only water as a byproduct.
Roozbeh Rajabi +5 more
doaj +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Hyperspectral image unmixing using a multiresolution sticky HDP [PDF]
This paper is concerned with joint Bayesian endmember extraction and linear unmixing of hyperspectral images using a spatial prior on the abundance vectors.We propose a generative model for hyperspectral images in which the abundances are sampled from a ...
Hero, Alfred O. +3 more
core +1 more source
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Rethinking Separability Map: A Target-Specified Separability Map for Hyperspectral Target Detection
Separability map (SM) is a widely used visualization tool for hyperspectral anomaly detection. It selects a fixed percentile range of [τSM%,100%-τSM%] and then uses it to construct an anomaly box (ax) and a background ...
Yuchao Yang +7 more
doaj +1 more source
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras.
Paul Gader +13 more
core +1 more source
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad +4 more
wiley +1 more source
This study assesses the suitability and performance of single‐image super‐resolution methods when applied directly, and without any fine‐tuning, to multispectral images of maize and sunflower crops. It evaluates not only super‐resolution performance, but also the preservation of spectral integrity and vegetation‐index reliability. Multispectral imagery
Abhiram Karukayil +4 more
wiley +1 more source
ABSTRACT We investigated the Písečný vrch (Czech Republic), a site exploited for quartz mining in both prehistoric times and the 20th century. Due to their morphological similarity across all mining periods, the differentiation between pits with archaeological potential and recent ones is challenging.
Jan Fišer +5 more
wiley +1 more source

