Results 51 to 60 of about 930,547 (198)

Multiband Image Fusion Based on Spectral Unmixing [PDF]

, 2016
This paper presents a multiband image fusion algo- rithm based on unsupervised spectral unmixing for combining a high-spatial–low-spectral-resolution image and a low-spatial– high-spectral-resolution image.
Tourneret, JY, Dobigeon, N, Dobigeon, Nicolas, ,, Chen, M, Godsill, S, Chen, Marcus, Godsill, Simon, Wei, Qi, Wei, Q, Bioucas-Dias, José M., Tourneret, Jean-Yves, Bioucas-Dias, J   +12 more
core   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing

Advanced Intelligent Systems, EarlyView.
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev, Pietro Novelli, Annalisa Coriolano, Riccardo Dettori, Valentina Tozzini, Fabio Beltram, Massimiliano Pontil, Antonio Rossi, Stiven Forti, Camilla Coletti   +9 more
wiley   +1 more source

Implementation strategies for hyperspectral unmixing using Bayesian source separation. [PDF]

, 2010
Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ensured, such in remote sensing. Moreover, it is sensible to impose a sum-to-one (full
Moussaoui, Saïd, Schmidt, Albrecht, Tréguier, Erwan, Maël Guiheneuf, Guiheneuf, Maël, Saïd Moussaoui, Erwan Treguier, Albrecht Schmidt, Nicolas Dobigeon, Dobigeon, Nicolas, Frédéric Schmidt, Schmidt, Frédéric   +11 more
core   +1 more source

Metal nanostructure‐coupled label‐free localized surface plasmon resonance biosensors for rapid and sensitive disease diagnosis

BMEMat, EarlyView.
LSPR biosensing enables rapid, sensitive, and low‐sample‐volume detection of biomarkers, with broad applications in diagnosing cancer, infectious, and chronic diseases. Advances in nanostructure design, micro/nanofabrication, and microfluidic integration have expanded the potential of LSPR sensors in biomedical diagnostics.
Zhaoxin Geng, Yunfei Sha, Jiongyan Yang, Hongru Yang, Xiao Liang   +4 more
wiley   +1 more source

Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing

, 2020
In many statistical hyperspectral unmixing approaches, the unmixing task is essentially an optimization problem given a defined linear or nonlinear spectral mixture model. However, most of the model inference algorithms require a time-consuming iterative
Qian, Qipeng, Qian, Yuntao, Zhou, Jun, Xiong, Fengchao   +3 more
core   +1 more source

Unmixing of Laboratory IR Spectral Reflectance Measurements of Labradorite-Enstatite-Glass Mineral Mixtures. [PDF]

, 2021
We present results of spectral unmixing analyses of labradorite-enstatite-glass mineral mixtures using a non-linear unmixing ...
Bauch, Karin, Maturilli, Alessandro, Wöhler, Christian, Hiesinger, H., Wohlfarth, Kay, Morlok, A., Weber, I., D'Amore, Mario, Stojic, A., Schmedemann, Nico, Helbert, Jörn, Reitze, M.P.   +11 more
core   +1 more source

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

The 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, Y. Zhang, S. Lyu, S. Lyu, M. Hou, M. Hou, J. Guo, J. Yan, J. Yan   +8 more
doaj   +1 more source

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

The 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

Nanocubes and Cuboctahedra: Entropic Stabilization Versus Thermal Segregation in Rock Salt‐ and Spinel‐Type Multinary Oxides from Spray‐Flame Synthesis

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Spray‐flame synthesis enables highly flexible and scalable production of multinary and high‐entropy oxide nanoparticles due to high synthesis temperatures with subsequent quenching. Temperature‐dependent in situ diffraction of as‐synthesized materials clearly reveals entropy stabilization in rock salt lattices, while spinels—featuring tetrahedral and ...
Mohammed‐Ali Sheikh, Steven Angel, Sabrina Schleich, Leon Müller, Jan Ternieden, Hatem M. A. Amin, Christof Schulz, Hartmut Wiggers   +7 more
wiley   +1 more source