Results 41 to 50 of about 6,103 (201)

A New Fast Sparse Unmixing Algorithm Based on Adaptive Spectral Library Pruning and Nesterov Optimization

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, hyperspectral sparse unmixing (HSU) has garnered extensive research and attention due to its unique characteristic of not requiring the estimation of endmembers and their number.
Kewen Qu   +3 more
doaj   +1 more source

Robust Linear Spectral Unmixing Using Anomaly Detection [PDF]

open access: yesIEEE Transactions on Computational Imaging, 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 an additional nonlinear term modelling anomalies and additive Gaussian noise.
Altmann, Yoann   +2 more
openaire   +2 more sources

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

open access: yesAdvanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao   +16 more
wiley   +1 more source

ASSESSING AND COMPARING THE PERFORMANCE OF ENDMEMBER EXTRACTION METHODS IN MULTIPLE CHANGE DETECTION USING HYPERSPECTRAL DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Endmember extraction is a process to identify the hidden pure source signals from the mixture. Endmember finding has become increasingly important in hyperspectral data exploitation because endmembers can be used to specify unknown particular spectral ...
H. Jafarzadeh, M. Hasanlou
doaj   +1 more source

Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF [PDF]

open access: yesIEEE Geoscience and Remote Sensing Letters, 2015
5 pages ...
Roozbeh Rajabi, Hassan Ghassemian
openaire   +2 more sources

Correlative Imaging Platform Linking Taste Cell Function to Molecular Identity

open access: yesAdvanced Science, EarlyView.
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

Multiband Image Fusion Based on Spectral Unmixing [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2016
This paper presents a multi-band image fusion algorithm based on unsupervised spectral unmixing for combining a high-spatial low-spectral resolution image and a low-spatial high-spectral resolution image. The widely used linear observation model (with additive Gaussian noise) is combined with the linear spectral mixture model to form the likelihoods of
Wei, Qi   +5 more
openaire   +4 more sources

Aberrant SUMOylation Restricts the Targetable Cancer Immunopeptidome

open access: yesAdvanced Science, EarlyView.
Pharmacological SUMOylation inhibition (SUMOi) counteracts tumor immune evasion by unmasking an immunogenic HLA‐I peptide and neoepitope repertoire. By restoring HLA‐I ligand availability through increased antigen processing and presentation, enhanced proteasomal cleavage, and modulated TAP1 peptide affinity, SUMOi boosts tumor immunogenicity ...
Uta M. Demel   +19 more
wiley   +1 more source

Research on the Hyperspectral-based Unmixing Model of Composite Pigments on Mural Surfaces [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Murals constitute an invaluable component of cultural heritage, encapsulating profound artistic and historical significance. Hyperspectral remote sensing, as a non-destructive testing technique, offers an effective means for analysing and identifying ...
Y. Zhang   +8 more
doaj   +1 more source

A New Deep Convolutional Network for Effective Hyperspectral Unmixing

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral unmixing extracts pure spectral constituents (endmembers) and their corresponding abundance fractions from remotely sensed scenes. Most traditional hyperspectral unmixing methods require the results of other endmember extraction algorithms ...
Xuanwen Tao   +7 more
doaj   +1 more source

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