[visionlist] "Applications of Computation in Multispectral and Hyperspectral Imaging Systems" special issue

[Javier Hernández Andrés]

Dear colleagues,

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).

https://www.mdpi.com/journal/computation/special_issues/ACMHIS

Deadline for manuscript submissions: _*30 June 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)
Guest Editors


*Manuscript Submission Information*

Manuscripts should be submitted online atwww.mdpi.com 
<https://l.facebook.com/l.php?u=http%3A%2F%2Fwww.mdpi.com%2F&h=AT2yM4swUR6S6lOy-YvtMYEb0tvV8RJs-NLQQyck-2jO6c3ME-nc_dWmyGmRQUizZmNsbISDgfP6OI01Nel5Z-12W9VPRzdUlqaeom_5y_6a5qcOWW5K8Q4aeAk66IH-A1Bbn8E8_UVRrH_eXt1eU4s>by 
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.


Keywords

  * registration and data/sensor/information fusion
  *      segmentation
  *      band selection, dimensionality reduction, data compression
  *      feature extraction and pattern recognition
  *      image classification, hyperspectral unmixing, endmember finding
  *      saliency
  *      color quality assessment (image quality assessment)
  *      spectral estimation
  *      spectral databases
  *      denoising, dehazing
  *      compressive sensing and sensor design
  *      data visualization





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