Results 101 to 110 of about 6,602 (196)

S2M-Net: Dynamic Hyperspectral Unmixing Network Integrating Spectral Sequence Mamba and Local Spatial–Spectral Awareness

Remote Sensing
Hyperspectral unmixing aims to extract pure endmembers and their corresponding abundance from mixed pixels. Existing deep learning-based unmixing methods predominantly rely on convolutional neural networks (CNNs) or Transformer architectures.
Yongqing Yang, Mengmeng Xu, Weidong Zhang, Ji Zhang, Yuquan Gan   +4 more
doaj   +1 more source

Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problems. [PDF]

Data Brief, 2022
Manohar Kumar CVSS, Jha SS, Nidamanuri RR, Dadhwal VK.   +3 more
europepmc   +1 more source

Surface Mineralogy and Hydrological Controls on “Hotspots” of Dust Emission at Etosha Pan, Namibia

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Ephemeral lake beds are globally significant sources of atmospheric mineral dust aerosols, yet emissions from these landforms exhibit considerable spatial and temporal variability. The complex interactions between climatic drivers and surface properties that govern dust emissions remain poorly understood, contributing to uncertainties in model
N. S. Wallum, R. G. Bryant, G. F. S. Wiggs, R. L. Reynolds, H. L. Goldstein, J. A. Leidelmeijer, J. M. Nield, M. C. Baddock   +7 more
wiley   +1 more source

Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the aid of endmember spectral libraries, sparse unmixing plays a critical role in interpreting hyperspectral remote sensing data. Integrating spatial clues from hyperspectral data into sparse unmixing frameworks is pivotal for enhancing unmixing ...
Ke Wang, Lei Zhong, Jiajun Zheng, Shaoquan Zhang, Fan Li, Chengzhi Deng, Jingjing Cao, Dingli Su   +7 more
doaj   +1 more source

Linear Spatial Misregistration Detection and Correction Based on Spectral Unmixing for FAHI Hyperspectral Imagery. [PDF]

Sensors (Basel), 2022
Zhang X, Cheng X, Xue T, Wang Y.
europepmc   +1 more source

A Next‐Generation Snow Albedo Parameterization for Climate Modeling Using Constrained Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We demonstrate a data‐driven parameterization framework for snow albedo evolution using a constrained auto‐regressive neural differential equation that directly predicts snow albedo change from standard meteorological inputs. After training with multi‐year in situ and satellite observations from a wide variety of locations, the scheme ...
A. Charbonneau, K. Deck, T. Schneider
wiley   +1 more source

Chemogenetic Activation of G12 Signaling Thickens the Epidermis With Enhanced Barrier Function

FASEB BioAdvances, Volume 8, Issue 8, August 2026.
In this study, we investigated the role of G12 signaling in the epidermis using a keratinocyte‐specific chemogenetic approach. Activation of G12 signaling promoted keratinocyte differentiation and enhanced epidermal barrier function by upregulating filaggrin, claudin‐1, and ceramide.
Nozomi Kamakura, Natsumi Hirai, Kaito Arai, Yaxin Du, Toshiaki Kogame, Yusuke Ohno, Akio Kihara, Kenji Kabashima, Asuka Inoue   +8 more
wiley   +1 more source

Dansgaard‐Oeschger Events Recorded in Low‐Latitude Marine Sediments and Teleconnection With High‐Latitude Climate Variations

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Dansgaard‐Oeschger (D‐O) events are millennial‐scale high‐latitude climate oscillations with abrupt climate transitions between stadial and interstadial conditions, which are well recorded in and outside of high northern latitudes. However, their signal propagation mechanisms from high to low latitudes are uncertain.
Zhanjie Liu, Zhaoxia Jiang, Long Chen, Andrew P. Roberts, Sanzhong Li, Liang Chen, Zhengxin Yin, Wanxin Liu, Yulong Guan, Yuzhen Zhang   +9 more
wiley   +1 more source

Superpixel spectral unmixing framework for the volumetric assessment of tissue chromophores: A photoacoustic data-driven approach. [PDF]

Photoacoustics, 2022
Grasso V, Willumeit-Rӧmer R, Jose J.
europepmc   +1 more source

IL‐33/ST2 Signaling Sustains Hepato‐Intestinal Homeostasis by Orchestrating Vascular Surveillance and Immune Regulatory Circuits During Experimental Trypanosoma cruzi Infection

The FASEB Journal, Volume 40, Issue 13, 15 July 2026.
Impairment of hepato‐intestinal homeostasis triggered by ST2 deficiency during T. cruzi infection. Within the splenic compartment, immune dysregulation is marked by a robust pro‐inflammatory polarization of the T‐cell landscape. In the liver, ST2 deficiency is associated with hepatocellular injury, increased parasite burden, and hyperalbuminemia ...
Marcelo Eduardo Cardozo, Tatyane Martins Cirilo, José Bryan da Rocha Rihs, Jorge Lucas Nascimento Souza, Isabela de Brito Duval, Ana Rafaela Antunes‐Porto, Luisa Vitor Braga do Amaral, Fernando Bento Rodrigues Oliveira, Mayra Fernanda Ricci, Laura Lis de Oliveira Santos, Lívia Fernanda Dias Santana, Luiza Pinheiro Silva, Chiara Cássia Oliveira Amorim, Gabriela Gomes Monteiro Lemos, Getulío Mota e Silva Junior, Izabela da Silva Oliveira, Marina Possa dos Reys, Ana Laura Grossi de Oliveira, Geovanni Dantas Cassali, Luisa Mourão Dias Magalhães, Lilian Lacerda Bueno, Fabiana Simão Machado, Ricardo Toshio Fujiwara   +22 more
wiley   +1 more source