Results 81 to 90 of about 6,322 (191)
Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization
, 2016 Inspired by several real-life applications in audio processing and medical image analysis, where the quantity of interest is generated by several sources to be accurately modeled and separated, as well as by recent advances in regularization theory and ...
Grasmair, Markus, Naumova, Valeriya
core +1 more source
Basin Research, Volume 38, Issue 2, March/April 2026.Detrital zircon unmixing identifies three sediment sources for the Oligocene–Miocene Nyalau Formation, including a previously unrecognised syn‐depositional component characterised by Oligocene–Miocene volcanic zircons and Neoproterozoic populations absent from established sources.
Ekundayo J. Adepehin +3 more
wiley +1 more source
Hyperspectral Unmixing with Robust Collaborative Sparse Regression
Remote Sensing, 2016 Recently, sparse unmixing (SU) of hyperspectral data has received particular attention for analyzing remote sensing images. However, most SU methods are based on the commonly admitted linear mixing model (LMM), which ignores the possible nonlinear ...
Chang Li +4 more
doaj +1 more source
Journal of Microscopy, Volume 301, Issue 3, Page 422-436, March 2026.Abstract Recently developed secondary nanobodies or single‐domain antibodies present a powerful tool for immunodetection. Unlike traditional antibodies, their monovalence enables pre‐association with primary antibodies prior to sample staining, presenting a straightforward affinity‐based antibody labelling solution.
Rebecca Saleeb +4 more
wiley +1 more source
Hyperspectral change detection by sparse unmixing with dictionary pruning
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015 Hyperspectral change detection is used in many applications ranging from environmental monitoring to city planning and military surveillance. Change detection by unmixing has the potential of not only providing the locations of the changes, but also the nature of the change, and sub-pixel level information.
Ertiirk, Alp +2 more
openaire +3 more sources
Robust Linear Spectral Unmixing using Anomaly Detection
, 2015 This paper presents a Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present in the data. The model proposed assumes that the pixel reflectances are linear mixtures of unknown endmembers, corrupted by ...
Altmann, Yoann +2 more
core +1 more source
Correlative Imaging Platform Linking Taste Cell Function to Molecular Identity
Advanced Science, Volume 13, Issue 9, 13 February 2026.A correlative imaging platform is developed to study how individual taste cells respond to different taste qualities. By linking cellular activity with molecular identity and environmental context, dual‐tuned taste cells capable of detecting both sweet and umami stimuli are identified.
Sungho Lee +6 more
wiley +1 more source
Generalized linear mixing model accounting for endmember variability
, 2017 Endmember variability is an important factor for accurately unveiling vital information relating the pure materials and their distribution in hyperspectral images.
Bermudez, José Carlos Moreira +2 more
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Photoacoustic Microscopy for Multiscale Biological System Visualization and Clinical Translation
Advanced Science, Volume 13, Issue 9, 13 February 2026.Photoacoustic microscopy (PAM) is a powerful biomedical imaging tool renowned for its non‐invasiveness and high resolution. This review synthesizes recent technological advances and highlights their broad applications from cellular and organ‐level to whole‐animal imaging.
Tingting Wang +3 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