Results 61 to 70 of about 1,157 (179)

Simplex‐based model for nanoparticle grain identification in four‐dimensional scanning transmission electron microscopy data

Journal of Microscopy, Volume 303, Issue 2, Page 194-215, August 2026.
Abstract Grain identification in polycrystalline nanoparticles, for example, determining which crystal phases are present at each spatial location, is fundamental to materials characterisation. This is particularly challenging when grains overlap extensively, as commonly occurs in four‐dimensional scanning transmission electron microscopy (4D‐STEM ...
Wei Liu, Roberto dos Reis, Chad A. Mirkin, Vinayak P. Dravid, Wei Chen, Daniel W. Apley   +5 more
wiley   +1 more source

Dictionary pruning in sparse unmixing of hyperspectral data [PDF]

2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2012
Spectral unmixing is an important technique for remotely sensed hyperspectral data exploitation. When hyperspectral unmixing relies on the use of spectral libraries (dictionaries of pure spectra), the sparse regression problem to be solved is severely ill-conditioned and time-consuming.
Marian-Daniel Iordache, José M. Bioucas-Dias, Antonio J. Plaza   +2 more
openaire   +1 more source

Remote Sensing for Monitoring and Managing Urban Soils in Coastal Areas: A Review

Soil Use and Management, Volume 42, Issue 3, July‐September 2026.
ABSTRACT Coastal urban soils (CUS) exhibit distinct physical–chemical properties due to the combined effects of intense interaction among anthropogenic and natural pressures, resulting in a unique, complex and highly vulnerable system. While CUS are vital for the urban coastal environment and its inhabitants, numerous factors significantly threaten ...
Antonio Ganga, Alessandro Auzzas, Rafael Barroca Silva, Gian Franco Capra   +3 more
wiley   +1 more source

Comparison of Soil Mineralogy From EMIT Imaging Spectroscopy and Ground‐Based Measurements in the Deserts of Southern California

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract The highly variable spatial composition of desert soils remains a major source of uncertainty in estimates of dust radiative forcing. Existing soil mineralogy data sets used in climate models are limited by sparse ground observations and coarse spatial resolution.
Xuan Liu, Paul Ginoux, Carlos Pérez García‐Pando, Adolfo González‐Romero, Xavier Querol, Philip G. Brodrick, Amato Evan   +6 more
wiley   +1 more source

Urban greenspace and dementia: Measures, mechanisms, and methodological guidance

Alzheimer's &Dementia, Volume 22, Issue 6, June 2026.
Abstract Urban greenspace has been associated with improved cognition and reduced Alzheimer's disease (AD) and AD‐related dementias (ADRD) risk, but findings remain mixed, study quality varies, and evidence is largely cross‐sectional. To advance the field, we offer guidance to select and apply greenspace exposure measures in AD/ADRD research.
Ingrid Jarvis, Lilah Besser, Jessica Finlay, Perry Hystad, Kevin J. Lane, Ruth F. Hunter, Peter James, Marcia Pescador Jiménez, Mark Nieuwenhuijsen, Matilda van den Bosch, David Van Riper, Jinkook Lee, Dany Doiron, Jeffrey Brook, Sara D. Adar, Michael Brauer   +15 more
wiley   +1 more source

Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning

Remote Sensing, 2019
Spectral unmixing extracts subpixel information by decomposing observed pixel spectra into a collection of constituent spectra signatures and their associated fractions.
Zeng Li, Jie Chen, Susanto Rahardja
doaj   +1 more source

A Dynamic Change of Microglial States Occurs During the Transition From Photoreceptor Degeneration to Regeneration in Zebrafish pde6c Mutants

Glia, Volume 74, Issue 6, June 2026.
Zebrafish pde6c mutants undergo photoreceptor degeneration from 5 dpf, but rods regenerate from 4 wpf. scRNA‐seq of retinal microglia reveals dynamic change of states between 5 dpf and 4 wpf. Two states emerge specifically during regeneration. ABSTRACT Microglia, brain‐resident immune cells, maintain brain homeostasis.
Darshini Ravishankar, Yuki Takeuchi, Ichiro Masai   +2 more
wiley   +1 more source

Hyperspectral Sparse Unmixing via Joint Robust Spatial Priors and Weighted Total Variation Regularization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sparse unmixing, which introduces a large spectral library to transform the problem of mixed-pixel decomposition into the search for an optimal subset of endmembers that best represents the spectral characteristics of an image, has become a prominent ...
Fan Li, Xiyu Chen, Shaoquan Zhang, Jiaqiang Zhou, Huasheng Zhu, Yuyang Liu, Hongyu Zhang, Chengzhi Deng, Shengqian Wang   +8 more
doaj   +1 more source

Bioanalytical TERS and Advanced Data Processing Methods

Journal of Raman Spectroscopy, Volume 57, Issue 6, Page 977-994, June 2026.
Tip‐enhanced Raman spectroscopy delivers label‐free, subnanometer vibrational imaging of biological systems. Recent advances in instrumentation, data analysis, and ambient/liquid operation enable surface‐selective mapping of molecular heterogeneity in proteins, nucleic acids, membranes, and viruses, positioning TERS as a powerful platform for nanoscale
Sarika Joshi, Ankit Dodla, Sarthak Saxena, Twinkle Soni, Sumit Saxena, Shobha Shukla, Bayden R. Wood   +6 more
wiley   +1 more source

Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The mixed pixel problem, arising from the complex vegetation types of peatlands, poses a significant challenge for remote sensing-based peatland mapping.
Yulin Xu, Xiaodong Na
doaj   +1 more source