Results 231 to 240 of about 49,483 (287)

Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification. [PDF]

Sci Rep
Sigger N, Vien QT, Nguyen SV, Tozzi G, Nguyen TT.   +4 more
europepmc   +1 more source

Exploring Terrestrial Lava Tubes as Martian Analogs (I): Multi‐Analytical Study of Mineralization Processes in Cueva del Vidrio, La Palma (Canary Islands)

Journal of Geophysical Research: Planets, Volume 131, Issue 3, March 2026.
Abstract The study of terrestrial lava tubes is essential for understanding geological processes occurring during volcanic activity on other planetary bodies, such as Mars. These processes lead to the formation of minerals analogous to those found on other planets.
F. Alberquilla, J. Aramendia, L. Coloma, I. Martínez‐Arkarazo, G. Arana, A. Gonzalez, R. Gisbert, E. Díaz, P. Cobiella, M. Perestelo, J. M. Madariaga   +10 more
wiley   +1 more source

Transfer Learning-Based Hyperspectral Image Classification Using Residual Dense Connection Networks. [PDF]

Sensors (Basel)
Zhou H, Wang X, Xia K, Ma Y, Yuan G.
europepmc   +1 more source

Capturing Spatial Gradients of Water Color and Clarity in Subtropical Reservoirs During Drought

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 3, March 2026.
Abstract Reservoirs have spatial variation in water depth, suspended matter, and biogeochemistry that can influence patterns of water clarity and color. Spatial surveys with sensor‐equipped boats matched in time with satellite image acquisition provide data‐intensive avenues for understanding spatial patterns of optical properties within reservoirs. We
Malcolm S. Macleod, Nicole D. Wagner, Xiao Yang, Stephen M. Powers   +3 more
wiley   +1 more source

Double‐Peaked Hyperspectral Features at 710 and 800 nm for Monitoring Coastal Chlorophyll‐α Concentrations From Space

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 3, March 2026.
Abstract The concentration of chlorophyll‐α $\alpha $ has been estimated from sea color, primarily based on the reflectance ratio between the blue and green spectral bands in multiband images obtained by satellite optical sensors. However, this method is only effective in open, clear water and cannot be reliably applied to shallow coastal waters.
Satoru Yamamoto, Masaru Mizuyama, Moe Matsuoka, Ayame Ikeda, Hiroki Mizuochi, Akira Iguchi   +5 more
wiley   +1 more source

CESA-MCFormer: An Efficient Transformer Network for Hyperspectral Image Classification by Eliminating Redundant Information. [PDF]

Sensors (Basel)
Liu S, Yin C, Zhang H.
europepmc   +1 more source

Monitoring Flood Inundation Dynamics From Space

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract With the increasing intensity and frequency of flood events worldwide, the need for accurate and timely inundation mapping has never been more critical. Large‐scale flood extent estimations are vital for coordinating effective disaster response, facilitating recovery, and building future resilience.
C. Campo, P. Tamagnone, S. Choy, T. D. Tran, G. J.‐P. Schumann, Y. Kuleshov   +5 more
wiley   +1 more source

Borehole Logging Lithological Classification in Carbonatite‐Hosted Niobium Deposit Integrating Geophysical and Geochemical Data With Self‐Organizing Maps

Geophysical Prospecting, Volume 74, Issue 3, March 2026.
ABSTRACT Lithological classification from borehole data remains challenging in geologically complex alkaline–carbonatite systems, where compositional overlap and gradual transitions between lithotypes limit conventional interpretation methods. This study presents an integrated and automated workflow for drill‐core lithological classification using self‐
Fabrizzio R. Costa, Lívia Namie S. Nishimura, Reginaldo Antonio R. Filho, Bruno P. Milanezi, Dong Yaosong, Cleyton de C. Carneiro, Carina Ulsen   +6 more
wiley   +1 more source

DMAF-NET: Deep Multi-Scale Attention Fusion Network for Hyperspectral Image Classification with Limited Samples. [PDF]

Sensors (Basel)
Guo H, Liu W.
europepmc   +1 more source

Artificial Intelligence in Food Safety: A Tertiary Study

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 2, March 2026.
ABSTRACT Food safety remains a critical factor in preventing contaminated and hazardous products from reaching consumers. The integration of artificial intelligence (AI) and its capacity to deal with vast datasets has significantly enhanced food safety protocols, and a substantial number of primary and secondary studies have emerged at the intersection
Marina Arribas Lopez, Yamine Bouzembrak, Bedir Tekinerdogan   +2 more
wiley   +1 more source