Results 11 to 20 of about 35,844 (297)
Hyperspectral imagery superresolution [PDF]
2016 24th Signal Processing and Communication Application Conference (SIU), 2016 Despite their high spectral resolution, hyperspectral images have low spatial resolution which adversely affects the applications that use hyperspectral images. In this study, instead of the traditional way of using spectral images, abundances of the endmembers are used in resolution enhancement.
Hasan Irmak +2 more
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Efficient detection in hyperspectral imagery [PDF]
IEEE Transactions on Image Processing, 2001 Hyperspectral sensors collect hundreds of narrow and contiguously spaced spectral bands of data. Such sensors provide fully registered high resolution spatial and spectral images that are invaluable in discriminating between man-made objects and natural clutter backgrounds.
Schweizer, Susan M., Moura, José M. F.
openaire +3 more sources
Visualization of hyperspectral imagery [PDF]
SPIE Proceedings, 2007 We developed four new techniques to visualize hyper spectral image data for man-in-the-loop target detection. The methods respectively: (1) display the subsequent bands as a movie (movie), (2) map the data onto three channels and display these as a colour image (colour), (3) display the correlation between the pixel signatures and a known target ...
Hogervorst, M.A., Bijl, P., Toet, A.
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PET and PVC Separation with Hyperspectral Imagery [PDF]
Sensors, 2015 Traditional plants for plastic separation in homogeneous products employ material physical properties (for instance density). Due to the small intervals of variability of different polymer properties, the output quality may not be adequate. Sensing technologies based on hyperspectral imaging have been introduced in order to classify materials and to ...
MORONI, Monica +4 more
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Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problems
Data in Brief, 2022 Recent developments in the miniaturization of hyperspectral imaging sensors have given rise to the increased use of hyperspectral imagery as the primary data for evaluating spectral unmixing algorithms in applications such as industrial quality control ...
C.V.S.S. Manohar Kumar +3 more
doaj +1 more source
Linking goniometer measurements to hyperspectral and multi-sensor imagery for retrieval of beach properties and coastal characterization [PDF]
, 2012 In June 2011, a multi-sensor airborne remote sensing campaign was flown at the Virginia Coast Reserve Long Term Ecological Research site with coordinated ground and water calibration and validation (cal/val) measurements.
Abelev, Andrei +21 more
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Retrieval of Sediment Filling Factor in a Salt Panne from Multi-View Hyperspectral Imagery
Remote Sensing, 2020 This work describes a study using multi-view hyperspectral imagery to retrieve sediment filling factor through inversion of a modified version of the Hapke radiative transfer model.
Rehman S. Eon +4 more
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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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An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery [PDF]
, 2020 Hyperspectral image sensing can be used to effectively detect the distribution of harmful cyanobacteria. To accomplish this, physical- and/or model-based simulations have been conducted to perform an atmospheric correction (AC) and an estimation of ...
Baek, Sangsoo +10 more
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Dyna, 2017 Hyperspectral remote sensors acquire data coming from hundreds of narrow bands through the electromagnetic spectrum; this allows the terrestrial and maritime surfaces to be characterized for Earth observation.
Maria Constanza Torres-Madronero
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