Reinforcement Learning Algorithm in Remote Sensing
This special issue belongs to the section "AI Remote Sensing".
Special Issue Information
Dear Colleagues,
As an important technique in deep learning, reinforcement learning was first proposed in the computer vision domain in the last decade. In recent years, deep reinforcement learning has continued to gain applications (e.g., image classification, object detection, object tracking, and so on) in the remote sensing community. To systematically promote the reinforcement of learning-driven remote sensing applications, this Special Issue aims to collect research on achievements concerning the remote sensing image interpretation methods based on reinforcement learning.
This Special Issue aims to collect and discuss the various applications of reinforcement learning in the field of remote sensing. The Special Issue may cover but is not limited to the following topics: reinforcement learning-based network architecture searching; reinforcement learning-based remote sensing image understanding, and so forth.
Dr. Yansheng Li
Dr. Yihua Tan
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-anonymized 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
- reinforcement learning theory
- network architecture searching via reinforcement learning
- reinforcement learning-driven remote sensing image retrieval
- reinforcement learning-driven remote sensing image classification
- reinforcement learning-driven remote sensing image object detection
- reinforcement learning-driven remote sensing image object tracking
- reinforcement learning-driven remote sensing image captioning
- hyperspectral image compression via reinforcement learning
- large-size remote sensing semantic segmentation via reinforcement learning
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Published Papers
Remote Sens. - ISSN 2072-4292