hyperPICASSO: adapting the mutual-information-based unmixing technique PICASSO to hyperspectral datasets. [PDF]
Opt LettHuang CZ, Ching-Roa VD, Giacomelli MG.
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Estimating Endmember Backscattering Coefficients Within the Mixed Pixels Based on the Microwave Backscattering Contribution Decomposition Model. [PDF]
Sensors (Basel)Song Y +6 more
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Autoencoder-Based Hyperspectral Unmixing with Simultaneous Number-of-Endmembers Estimation. [PDF]
Sensors (Basel)Alshahrani AA, Bchir O, Ben Ismail MM.
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Spatial-Channel Multiscale Transformer Network for Hyperspectral Unmixing. [PDF]
Sensors (Basel)Sun H, Cao Q, Meng F, Xu J, Cheng M.
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Improving spatiotemporal data fusion method in multiband images by distributing variates. [PDF]
Sci RepJin Y, Yin Z, Zhu W, Lee D.
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Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability. [PDF]
Sensors (Basel), 2023 Brezini SE, Deville Y.
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Advances in Technology and Applications of Optical Sensing and Imaging for Biomedicine: introduction to the feature issue. [PDF]
Biomed Opt ExpressYuan W, Kim D, Untracht GR.
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The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images. [PDF]
Sensors (Basel)Hu L +6 more
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Spiral scanning and self-supervised image reconstruction enable ultra-sparse sampling multispectral photoacoustic tomography. [PDF]
PhotoacousticsZhong Y +6 more
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Hyperspectral Imaging Techniques for Lyophilization: Advances in Data-Driven Modeling Strategies and Applications. [PDF]
Adv Sci (Weinh)Yu H +5 more
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