Results 41 to 50 of about 112,356 (331)
A low-cost hyperspectral scanner for natural imaging and the study of animal colour vision above and under water [PDF]
, 2019 Hyperspectral imaging is a widely used technology for industrial and scientific purposes, but the high cost and large size of commercial setups have made them impractical for most basic research.
Baden, T, Nevala, N E
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Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]
, 2009 This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Alfred O. Hero +5 more
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智慧农业, 2020 With the development of hyperspectral sensor technology and remote sensing data acquisition platform, the application of hyperspectral data is becoming more and more popular in precision agriculture.
Fu Yuanyuan +7 more
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Remote Sensing, 2017 Restricted by technical and budget constraints, hyperspectral images (HSIs) are usually obtained with low spatial resolution. In order to improve the spatial resolution of a given hyperspectral image, a new spatial and spectral image fusion approach via ...
Jing Yang +3 more
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Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
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Discriminative Local Feature for Hyperspectral Hand Biometrics by Adjusting Image Acutance
Applied Sciences, 2019 Image acutance or edge contrast in an image plays a crucial role in hyperspectral hand biometrics, especially in the local feature representation phase. However, the study of acutance in this application has not received a lot of attention. Therefore, in
Wei Nie, Bob Zhang, Shuping Zhao
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Robust hyperspectral image classification with rejection fields
, 2015 In this paper we present a novel method for robust hyperspectral image classification using context and rejection. Hyperspectral image classification is generally an ill-posed image problem where pixels may belong to unknown classes, and obtaining ...
Bioucas-Dias, Jose +2 more
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Exploiting Structural Complexity for Robust and Rapid Hyperspectral Imaging [PDF]
, 2013 This paper presents several strategies for spectral de-noising of hyperspectral images and hypercube reconstruction from a limited number of tomographic measurements.
Aeron, Shuchin +2 more
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Volume Holographic Hyperspectral Imaging [PDF]
Applied Optics, 2004 A volume hologram has two degenerate Bragg-phase-matching dimensions and provides the capability of volume holographic imaging. We demonstrate two volume holographic imaging architectures and investigate their imaging resolution, aberration, and sensitivity.
Wenhai, Liu +2 more
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Quantitative Hyperspectral Reflectance Imaging [PDF]
Sensors, 2008 Hyperspectral imaging is a non-destructive optical analysis technique that can for instance be used to obtain information from cultural heritage objects unavailable with conventional colour or multi-spectral photography. This technique can be used to distinguish and recognize materials, to enhance the visibility of faint or obscured features, to detect
Ted A.G. Steemers +4 more
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