Results 151 to 160 of about 9,650 (249)

Tri branch attention enhanced 3DUNet for remote sensing based hyperspectral image classification. [PDF]

Sci Rep
Ashraf M, Abbas T, Iqbal S, Sayyed A, Asghar MN, Alaulamie A.   +5 more
europepmc   +1 more source

Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification. [PDF]

Sensors (Basel), 2023
Islam MR, Ahmed B, Hossain MA, Uddin MP.
europepmc   +1 more source

Floods From Space: How Remote Sensing, AI, and Cloud Platforms Are Reshaping Disaster Risk Reduction

Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Flooding remains one of the most damaging climate‐related hazards globally, yet flood remote sensing has historically developed largely along sensor‐specific pathways. This review addresses the need for a systematic and decision‐oriented synthesis of how space‐borne remote sensing has evolved toward integrated flood monitoring and disaster ...
Ricky Anak Kemarau, Nurfashareena Muhamad, Aida Soraya Shamsuddin, Zulfaqar Sa'adi, Zaini Sakawi, Oliver Valentine Eboy, Nik Norliati Fitri Md Nor   +6 more
wiley   +1 more source

Progressive multi-scale multi-attention fusion for hyperspectral image classification. [PDF]

Sci Rep
Wang H, Quan S, Liu J, Xiao H, Peng Y, Wang Z, Li H.   +6 more
europepmc   +1 more source

Double-branch feature fusion transformer for hyperspectral image classification. [PDF]

Sci Rep, 2023
Dang L, Weng L, Hou Y, Zuo X, Liu Y.
europepmc   +1 more source

Elevation shapes alpine snow algal blooms and their influence on albedo reduction

New Phytologist, Volume 251, Issue 5, Page 2482-2496, September 2026.
Graphical summary of elevational trends in Sanguina‐dominated snow algal blooms. Increasing elevation was associated with larger cells, lower Chla content per cell, higher astaxanthin ratios, lower snow water content, and reduced cell‐normalized albedo, whereas algal cell density showed no consistent elevational trend.
Pablo Almela, Scott Hotaling, J. Joseph Giersch, Helena C. L. Klip, James J. Elser, Trinity L. Hamilton   +5 more
wiley   +1 more source

EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification. [PDF]

PLoS One
Zhang Y, Jin X, Zhang X, Wu Y, Tu L.
europepmc   +1 more source

Natural Agents for Preventing Skin Damage Induced by Visible Light: A Systematic Review of Preclinical and Clinical Evidence

Photodermatology, Photoimmunology &Photomedicine, Volume 42, Issue 5, September 2026.
ABSTRACT Background/Purpose Visible light (VL), and particularly high‐energy visible light (HEVL), reaching Earth's surface has emerged as a relevant contributor to skin damage. VL has been implicated in oxidative stress, inflammation, pigmentation disorders, and photoaging, especially in individuals with darker skin phototypes.
Azahara Rodríguez‐Luna, Alicia Zamarrón, Cristina García‐Muñoz, Juan‐Carlos Hernández‐Rodríguez, Henry W. Lim, Salvador González   +5 more
wiley   +1 more source

Correction: A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification. [PDF]

Sci Rep
Sangeetha V, Agilandeeswari L.
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source