Results 1 to 10 of about 3,939 (225)

Graph Attention Convolutional Autoencoder-Based Unsupervised Nonlinear Unmixing for Hyperspectral Images [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Hyperspectral unmixing has received increasing attention as a technique for estimating endmember spectra and fractional abundances of land covers. Encoding high-dimensional hyperspectral data into a low-dimensional latent space to generate reasonable ...
Danni Jin, Bin Yang
doaj   +2 more sources

Joint Local Block Grouping with Noise-Adjusted Principal Component Analysis for Hyperspectral Remote-Sensing Imagery Sparse Unmixing [PDF]

Remote Sensing, 2019
Spatial regularized sparse unmixing has been proved as an effective spectral unmixing technique, combining spatial information and standard spectral signatures known in advance into the traditional spectral unmixing model in the form of sparse regression.
Ruyi Feng, Lizhe Wang, Yanfei Zhong
doaj   +2 more sources

Multi-stage convolutional autoencoder network for hyperspectral unmixing

International Journal of Applied Earth Observation and Geoinformation, 2022
Hyperspectral unmixing (HU) is a fundamental and critical task in various hyperspectral image (HSI) applications. Over the past few years, the linear mixing model (LMM) has received widely attention for its high efficiency, definite physical meaning, and
Yong Ma, Xiaoguang Mei, Fan Fan
exaly   +3 more sources

Raman Microspectroscopy for Structural Indication in Ultrafast Laser Writing. [PDF]

Small Methods
Raman microspectroscopy is demonstrated as an in situ, phase‐specific probe for femtosecond laser fabrication in diamond. Multiple spectral indicators are systematically evaluated and correlated with electrical performance, establishing a robust methodology for process monitoring.
Cheng X, Picheo E, Chen Z, Booth MJ, Salter PS, Fernández-Galiana Á.   +5 more
europepmc   +2 more sources

Sparse Unmixing for Hyperspectral Imagery via Comprehensive-Learning-Based Particle Swarm Optimization [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Sparse unmixing methods have been extensively studied as a popular topic in hyperspectral image analysis for several years. Fundamental model-based unmixing problems can be better reformulated by exploiting sparse constraints in different forms. Gradient-
Yapeng Miao, Bin Yang
doaj   +2 more sources

A Label-Free Hyperspectral Imaging Device for Ex Vivo Characterization and Grading of Meningioma Tissues. [PDF]

J Biophotonics
HyperProbe1.1 enables rapid, label‐free biochemical mapping of freshly resected meningiomas. By quantifying endogenous biomarkers such as cytochrome c oxidase, hemoglobin derivatives, and lipids, the system reveals molecular signatures consistent with tumor grading and generates spatial maps that visualize metabolic and vascular heterogeneity across ...
Ricci P, Bonaudo C, Ezhov I, Toaha A, Nardini D, Camelia M, Lucidi F, Nozzoli F, Mach T, Tachtsidis I, Rueckert D, Della Puppa A, Giannoni L, Pavone FS.   +13 more
europepmc   +2 more sources

High-Content SRS Imaging Unveils Altered Cholesterol Metabolism in Ovarian Cancers Under CAR-T Treatment. [PDF]

Adv Sci (Weinh)
High‐content Stimulated Raman Scattering (SRS) Imaging reveals that ovarian cancer cells surviving Chimeric Antigen Receptor (CAR) ‐T cell challenge exhibit increased cholesterol esterification. Pharmacological inhibition of this pathway with Avasimibe significantly enhances CAR‐T induced killing of ovarian cancer cells by reducing cancer cell ...
Prabhu Dessai CV, Huang Z, Lin H, Ding G, He H, Siddiqui M, Zhang M, Wong W, Cheng JX.   +8 more
europepmc   +2 more sources

Spectral weighted sparse unmixing based on adaptive total variation and low-rank constraints [PDF]

Scientific Reports
Hyperspectral sparse unmixing, an image processing technique, leverages a spectral library enriched with endmember spectral information as a prerequisite.
Chenguang Xu
doaj   +2 more sources

Blind and endmember guided autoencoder model for unmixing the absorbance spectra of phytoplankton pigments [PDF]

Scientific Reports
Hyperspectral sensing of phytoplankton, free-living microscopic photosynthetic organisms, offers a comprehensive and scalable method for assessing water quality and monitoring changes in aquatic ecosystems.
Pritish Naik, Ilkka Pölönen, Pauliina Salmi   +2 more
doaj   +2 more sources

An Open Evaluation of Hyperspectral Unmixing Strategies for EDS Analysis. [PDF]

Microsc Microanal, 2018
Taillon JA.
europepmc   +3 more sources