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Remote Sensing Image Classification: Theory and Application

This special issue belongs to the section “Remote Sensing Image Processing“.

Special Issue Information

Dear Colleagues,

With the rapid development of earth observation technology, remote sensing has shown increasing superiority in various applications, allowing for a clear record of the appearance and spatial layout of different ground objects to support refined information extraction. Classification is an effective technique for remote sensing image interpretation and analysis and has become the foundation of a variety of applications, including precision agriculture, fine forestry, wetland monitoring, mineral exploration, and so on. In the past decades, a large amount of remote sensing image classification methods has been proposed, and extensive relevant applications have been carried out to obtain numerous meaningful findings and conclusions, which have greatly promoted the development of remote sensing technology. Thus, we have organized a Special Issue entitled “Remote Sensing Image Classification: Theory and Application”. Contributions using new theories, methods, and relevant interesting applications are especially welcome.

Dr. Han Zhai
Dr. Yuxiang Zhang
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 250 words) can be sent to the Editorial Office for assessment.

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

  • remote sensing image
  • artificial intelligence
  • deep learning
  • classification
  • clustering
  • change detection
  • applications

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Remote Sens. - ISSN 2072-4292