Results 71 to 80 of about 296,705 (175)

A multiplex tissue resource for high‐resolution spatial protein profiling in the Human Protein Atlas

Protein Science, Volume 35, Issue 9, September 2026.
Abstract Spatially resolved protein expression is essential for understanding tissue organization, cellular specialization, and protein function. The open‐access Human Protein Atlas database (www.proteinatlas.org) has generated an extensive antibody‐based tissue resource for a majority of the human protein‐coding genes using conventional ...
Borbala Katona, Rutger Schutten, Filippa Bertilsson, Feria Hikmet, Per Adelsköld, Mattias Forsberg, Kalle von Feilitzen, Loren Méar, Mathias Uhlén, Cecilia Lindskog   +9 more
wiley   +1 more source

Multipopulation Particle Swarm Optimization for Evolutionary Multitasking Sparse Unmixing

, 2021
Recently, the multiobjective evolutionary algorithms (MOEAs) have been designed to cope with the sparse unmixing problem. Due to the excellent performance of MOEAs in solving the NP hard optimization problems, they have also achieved good results for the
Dan Feng, Mingyang Zhang, Shanfeng Wang
core   +1 more source

The Concept of the Mixing Index

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Many current measures of mixing, such as the statistics of concentration, the scalar dissipation rate, or dilution index, are based on the dilution of a single component or pseudo‐component. Because of this, they miss the influence of numerous conditions that directly change true mixing, such as initial separation of chemically distinct water ...
David A. Benson, Diogo Bolster, Nicholas B. Engdahl   +2 more
wiley   +1 more source

Hyperspectral Sparse Unmixing via Nonconvex Shrinkage Penalties

, 2023
International audienceHyperspectral sparse unmixing aims at finding the optimal subset of spectral signatures in the given spectral library and estimating their proportions in each pixel.
Hong, Danfeng, Sun, Xu, Ren, Longfei, Gao, Lianru, Chanussot, Jocelyn, Huang, Min   +5 more
core   +1 more source

Sparse {Spectral} {Unmixing} with {Endmember} {Groups} {Pre}-{Selection}

, 2013
Sparse hyperspectral unmixing is a relatively new method for automatic endmember detection and abundance estimation using large overcomplete dictionaries.
Bieniarz, Jakub;Zhu, Xiao Xiang;Müller, Rupert;Reinartz, Peter
core   +2 more sources

Visible to Near‐Infrared Properties of Felsic Rocks: Plagioclase Detection Limits and Applications to Mars Orbital Spectra

Journal of Geophysical Research: Planets, Volume 131, Issue 9, September 2026.
Abstract Widespread plagioclase detections on Mars using orbital visible to near infrared (VNIR) reflectance spectra have led to multiple interpretations of “feldspathic” terrain, ranging from ancient crustal material and evolved plutons to volcanic lava flows.
Hunter Vannier, Briony H. N. Horgan, Michael Phillips, Michael Eddy, Rebecca Greenberger, Arya Udry   +5 more
wiley   +1 more source

Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

, 2020
Hyperspectral unmixing is an important step to learn the material categories and corresponding distributions in a scene. Over the past decade, nonnegative matrix factorization (NMF) has been utilized for this task, thanks to its good physical ...
Zhou, Jun, Qian, Yuntao, Xiong, Fengchao, Lu, Jianfeng   +3 more
core   +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

North Atlantic Ocean–Atmosphere Dynamics Controlled the Hydroclimate in Western Iberia During the Holocene

Paleoceanography and Paleoclimatology, Volume 41, Issue 9, September 2026.
Abstract Hydroclimate variability in western Iberia during the Holocene remains insufficiently resolved despite the high sensitivity of this region to the North Atlantic atmosphere and ocean dynamics. Here, we present the first source‐resolved reconstruction of centennial‐ to millennial‐scale moisture variability over the last 11,000 years using ...
U. Fernández‐Pérez, R. N. Santos, T. Rodrigues, E. Schefuß, R. Bao, P. M. Raposeiro, A. Sáez, S. Giralt, C. Martín‐Puertas, P. Francus, R. M. Trigo, A. M. Ramos, A. Hernández   +12 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