Results 101 to 110 of about 109,853 (338)

Derivative Analysis of Hyperspectral Data

Remote Sensing of Environment, 1998
Abstract With the goal of applying derivative spectral analysis to analyze high-resolution, spectrally continuous remote sensing data, several smoothing and derivative computation algorithms have been reviewed and modified to develop a set of cross-platform spectral analysis tools.
Fuan Tsai, William Philpot
openaire   +1 more source

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

Archaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem, Kristen Hopper, Ismael M. Ibraheem, Andreas Maier, Mohammad Khair Nassrallah, Jürgen Richter   +5 more
wiley   +1 more source

Cutting Through the Green: A Case for Grassland Archaeology Using UAV Multispectral Data

Archaeological Prospection, EarlyView.
ABSTRACT Advances in low‐altitude remote sensing are needed to improve the effectiveness of archaeological prospection in the Netherlands. The geomorphological situation and land use history make applying various remote sensing and geophysical technologies particularly challenging.
Roeland Emaus
wiley   +1 more source

Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing enthusiasm for generative artificial intelligence (GenAI) in sustainability management, it remains unclear how such technologies translate vast ESG information into meaningful environmental outcomes. This study addresses this gap by investigating how ESG sensemaking capability mediates the relationship between GenAI integration
Surajit Bag, Gautam Srivastava, Susmi Routray, Andrea Chiarini   +3 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

Future Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh, Anurag Singh, Ashutosh Upadhyay, Navneet Kumar   +3 more
wiley   +1 more source

The Global Patent Landscape of Mushroom‐Derived Functional Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

Food Safety and Health, EarlyView.
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao, Linhuizi Xiang, Dongmei Liu, Shoucheng Qin, Yue Chen, Xueyan Sun   +5 more
wiley   +1 more source

Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation

Frontiers in Plant Science
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 ...
Xianzhi Deng, Xiaolong Hu, Liangsheng Shi, Chenye Su, Jinmin Li, Shuai Du, Shenji Li   +6 more
doaj   +1 more source

An interactive tool for semi-automatic feature extraction of hyperspectral data

Open Geosciences, 2016
The spectral reflectance of the surface provides valuable information about the environment, which can be used to identify objects (e.g. land cover classification) or to estimate quantities of substances (e.g. biomass).
Kovács Zoltán, Szabó Szilárd
doaj   +1 more source

Bio‐inspired nanophotonics: Structural color, chirality, and resonance metasurfaces

InfoMat, EarlyView.
A butterfly‐wing‐inspired anisotropic plasmonic flatband resonant metasurface. Insets, photo of the butterfly, Sasakia charonda, and the SEM image of its wing scale (above); the SEM image of the metasurface (below). Abstract The dazzling colors of butterfly wings and hummingbird feathers are not painted with pigments, but crafted by nature's invisible ...
Weihan Liu, Yao Liang, Din Ping Tsai
wiley   +1 more source