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Smart Sensing Systems for Spectral Imaging

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 275

Special Issue Editor


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Guest Editor
Head of the Center for Computational Optics, Department of Electrical Engineering and Physics, Shamoon College of Engineering (SCE), Be'er Sheva 8410802, Israel
Interests: computational optics; computational spectroscopy; computational physics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Currently, hyperspectral and multispectral products are used in numerous fields, including bio-medical imaging, remote sensing, the food industry, art conservation, and spectral spectroscopy. The amount of data typically captured with spectroscopic imaging systems is very large and it often can be present in a highly redundant way.

The performance of ideal spectroscopic imaging sensing systems is ultimately limited by the approach used for their design. In addition to the ideal performance limitations, the performance of real systems is reduced due to the use of a non-ideal implementation with non-ideal optical components. To date, most of the effort to improve spectral imaging system performance has been made by trying to optimize the optical components. However, optimization of the optical components cannot improve the system’s performance beyond the limitations set by the physical approach to sensing.

The aim of this Special Issue, entitled “Smart Sensing Systems for Spectral Imaging”, is to publish new ideas and methods that focus on improving the performance of optical spectroscopic imaging sensing systems by using new approaches and designs in order to leverage the traditional paradigm. A key tool in this area is advanced mathematical and computational methods that are supported by new optical and physical designs.

Dr. Isaac August
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com 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 submissions that pass pre-check are 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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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

  • hyperspectral imaging
  • multispectral imaging
  • spectral imaging
  • multiplex sensing
  • artificial neural network
  • deep learning
  • machine learning

Published Papers

There is no accepted submissions to this special issue at this moment.
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