Results 31 to 40 of about 763 (175)
ENDMEMBER EXTRACTION OF HIGHLY MIXED DATA USING L1 SPARSITY-CONSTRAINED MULTILAYER NONNEGATIVE MATRIX FACTORIZATION [PDF]
Due to the limited spatial resolution of remote hyperspectral sensors, pixels are usually highly mixed in the hyperspectral images. Endmember extraction refers to the process identifying the pure endmember signatures from the mixture, which is an ...
H. Fang +6 more
doaj +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Endmember extraction is a primary and indispensable component of the spectral mixing analysis model applicated to quantitatively retrieve fractional snow cover (FSC) from satellite observation.
Hongyu Zhao +8 more
doaj +1 more source
ASSESSING AND COMPARING THE PERFORMANCE OF ENDMEMBER EXTRACTION METHODS IN MULTIPLE CHANGE DETECTION USING HYPERSPECTRAL DATA [PDF]
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
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
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 +4 more
wiley +1 more source
Endmember extraction algorithms (EEAs) are among the most commonly discussed types of hyperspectral image processing in the past three decades. This article proposes a spatial energy prior constrained maximum simplex volume (SENMAV) approach for spatial ...
Xiangfei Shen, Wenxing Bao, Kewen Qu
doaj +1 more source
VALIDATION OF EXTRACTED ENDMEMBERS FROM HYPERSPECTRAL IMAGES [PDF]
An essential step in the characterization of surface materials using hyperspectral image analysis is image classification using endmembers. Spectral unmixing is the best method for hyperspectral image classification.
A. Sharifi, M. Hosseingholizadeh
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A2.4Cr8Te14$A_{2.4}{\rm Cr}_{8}{\rm Te}_{14}$ (A = Rb, Cs) compounds exhibit a layered, ladder‐like Cr‐Te framework uniting structural motives of hollandite‐like and delafossite‐like phases. Alkali atoms are situated both in the interlayer space and tunnels within the Cr8Te14${\rm Cr}_{8}{\rm Te}_{14}$ framework.
Kai D. Röseler +2 more
wiley +1 more source
ABSTRACT Advances in spectral cytometry instrumentation and fluorescent reagents have led to the possibility of ultra‐high‐parameter panels exceeding 50 colors. However, panel size is limited in practice by unmixing‐dependent spreading (UDS), a phenomenon which leads to a progressive deterioration of unmixed signal‐to‐noise ratios in panels that ...
Peter L. Mage +2 more
wiley +1 more source
An interdisciplinary in situ study of jewelled reliquaries of the True Cross integrates gemmology and portable analytical techniques, revealing new evidence on the identification and symbolic role of peridots and other gemstones. ABSTRACT Jewelled crosses containing relics of the True Cross occupy a central position in the devotional, artistic and ...
Stefania Martiniello +2 more
wiley +1 more source

