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Multimodality Imaging Systems for Remote Sensing

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 (15 March 2022) | Viewed by 551

Special Issue Editors


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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
Spectroscopy and Remote Sensing Laboratory, Department of Geography and Environmental Studie, Faculty of Social Science, University of Haifa, Haifa 3498838, Israel
Interests: data fusion; image and signal processing; automation target recognition; sub-pixel detection; spectral models across NIR-MIR regions
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years with the accelerated development of digital storage, processing and transmission systems, spectral imaging systems have become attractive for a variety of uses. In the wide range of uses you can find applications in the fields of medicine, the arts, the food and horticulture industry and many other applications in very diverse fields. Spectral sensing systems has proven to have great uniqueness in many different fields and today commercial spectral imaging systems can be found. As we look to the future it is expected that new spectral and polymetric systems will present and other multimodal imaging sensing systems will present.

The performance of ideal multimodal imaging sensing systems is ultimately limited by the approach used for their design. In addition to the ideal performance limitations, the real system performance is reduced due to the use of non-ideal implementation with non-ideal optical components. Up to recent years, most of the effort to improve spectral imaging system performance was made by trying to optimize the optical components. However, optimization of the optical component cannot improve the system performance beyond the limitations set by the physical approach of sensing.

The aim of this Special Issue “Multimodality imaging systems for remote sensing” is to publish new ideas and methods of multimodal imaging sensing systems by using new approaches and designs. Another aim is the description of experiments and information uses from systems multimodality imaging systems for different studies.

Dr. Isaac August
Dr. Anna Brook
Guest Editors

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

  • Polarimetric imaging
  • 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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