Special Issue "Remote Sensing Data and Classification Algorithms"

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

Deadline for manuscript submissions: 30 September 2020.

Special Issue Editor

Prof. Dr. Kacem CHEHDI
Guest Editor
University of Rennes1/IETR UMR CNRS, 6, rue de Kerampont, Lannion, 22305, France
Interests: decision-making systems; image filtering; blind restoration; unsupervised classification; optimization; estimation; hyperspectral image; remote sensing.

Special Issue Information

Dear Colleagues,

Decision-making systems represent a growing and innovative field of research, covering a wide range of applications. The development of these systems is based on reliable remote sensing data and efficient classification algorithms. The data exploited in these systems must be accurate regardless of the application field. Thus, the analysis and interpretation of remote sensing images must be objective and relevant, considering their physical nature. To effectively achieve these objectives and to meet expectations, classification algorithms must provide optimal partitions according to one or more criteria. Despite numerous existing methods in the literature, achieving accurate image partitioning remains a challenge. Indeed, to resolve this problem, one must take into account the diversity of objects and their classes in an image, the partial and limited knowledge of ground truth data, and spatial resolution, regardless of the remote sensing data acquisition system (satellite, aircraft, UAV). Classification algorithms must therefore be adapted to the nature of the data for better image partitioning. The classification of remote sensing data remains an open and complex problem for the three categories of supervised, semi-supervised, and unsupervised classification methods. Thus, the development of an efficient classification algorithm remains the main contributor to the quality of decision-making systems.

Prof. Dr. Kacem CHEHDI
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 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. 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 2200 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.


  • decision-making systems
  • optimization
  • algorithms
  • classification
  • semi-supervised classification
  • unsupervised classification
  • remote sensing
  • hyperspectral image
  • assessment
  • validation

Published Papers

This special issue is now open for submission.
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