[visionlist] special issue on "Applications of Computation in Multispectral and Hyperspectral Imaging Systems"
Javier Hernández Andrés
javierha at ugr.es
Mon Oct 8 06:42:35 -05 2018
You might be interested in this special issue on "Applications of
Computation in Multispectral and Hyperspectral Imaging Systems"
A special issue of Computation (ISSN 2079-3197).
Deadline for manuscript submissions: _*30 April 2019*_
Technological advances in image sensors and spectral filtering have
allowed the proliferation of multispectral and hyperspectral imaging
systems for image capture in a wide range of applications, such as
medicine, remote sensing, biology, cosmetics, quality control,
surveillance, food industry, and art observation, just to name a few.
The development of new system architectures and devices, as well as the
increase of computational power, have put spectral imaging to a main
stream of scientific and industrial interest. These imaging systems
enable us to retrieve image data far beyond the capabilities of the
human visual system. A multispectral imaging system usually combines two
to eight spectral imaging bands of relatively wide bandwidth into a
single optical system, whereas a hyperspectral imaging system combines
many narrow spectral bands to get the spectrum at each pixel location.
Therefore, hyperspectral imaging systems integrate spectroscopic and
imaging techniques to enable direct identification of different
components and their spatial distribution in the tested sample.
Moreover, this capability of sensing a big amount of data pixel-wise,
also makes spectral images become perfect candidates for being used in
deep learning techniques.
The impact of computational methods in multispectral and hyperspectral
imaging and processing is rapidly increasing. Nevertheless, the lacking
of publicly available data for some applications (especially if we
compare with the amount of data existing for conventional color imaging)
and the huge amount of information that a spectral image can contain are
acting as deterrents for the extensive use of recently developed
prediction and classification algorithms like deep-learning-based methods.
The present Special Issue aims to present the recent advances in the
development and application of computational methods in multispectral
and hyperspectral imaging to further explore its potential in various
applications, according but not limited to the list of keywords below.
In addition to original research papers with novel research or suitable
review articles describing the current state-of-the-art and the future
perspectives are invited.
Prof. Dr. Javier Hernández-Andrés
Prof. Dr. Eva M. Valero Benito
Dr. Miguel Angel Martínez Domingo
University of Granada (SPAIN)
*Manuscript Submission Information*
Manuscripts should be submitted online atwww.mdpi.com
registering and logging in to this website. Once you are registered,
click here to go to the submission form. Manuscripts can be submitted
until the deadline. All papers will be peer-reviewed. Accepted papers
will be published continuously in the journal (as soon as accepted) and
will be listed together on the special issue website. Research articles,
review articles as well as short communications are invited. For planned
papers, a title and short abstract (about 100 words) can be sent to the
Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be
under consideration for publication elsewhere (except conference
proceedings papers). All manuscripts are thoroughly refereed through a
single-blind peer-review process. A guide for authors and other relevant
information for submission of manuscripts is available on the
Instructions for Authors page. Computation is an international
peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a
manuscript. The Article Processing Charge (APC) for publication in this
open access journal is 350 CHF (Swiss Francs). Submitted papers should
be well formatted and use good English. Authors may use MDPI's English
editing service prior to publication or during author revisions.
* registration and data/sensor/information fusion
* band selection, dimensionality reduction, data compression
* feature extraction and pattern recognition
* image classification, hyperspectral unmixing, endmember finding
* color quality assessment (image quality assessment)
* spectral estimation
* spectral databases
* denoising, dehazing
* compressive sensing and sensor design
* data visualization
Prof. Javier Hernández Andrés
Color Imaging Labhttp://colorimaginglab.ugr.es
Universidad de Granada
Erasmus+ master COSI "Color in Science&Industry"https://master-colorscience.eu
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