Special Issue "Advanced Artificial Intelligence and Deep Learning for Remote Sensing"
Deadline for manuscript submissions: 31 January 2021.
Interests: wireless communication; 5G; IoT; artificial intelligence; machine learning; data fusion learning; remote sensing
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Remote sensing is a fundamental tool for comprehending the earth and supporting human-earth communications. Artificial intelligence applications and data science techniques lead new research chances in various fields such as remote sensing, which uses next fifth-generation communications and IoT. In remote sensing area, the system and human generated information bring a massive amount of data while new levels of accuracy, complexity, security, achievement, and reliability are requested. To this end, applicable and consistent research on artificial intelligence and data mining-based methods are needed. These methods can be general and specific tools of artificial intelligence including regression models, neural networks, decision trees, information retrieval, reinforcement learning, graphical models, and decision processes. We trust artificial intelligence and data science methods will provide promising tools to many challenging issues in remote sensing in terms of accuracy and reliability. This Special Issue aims to report the latest advances and trends concerning the advanced artificial learning and data science techniques to the remote sensing data processing issues. Papers of both theoretical and applicative nature, as well as contributions regarding new advanced artificial learning and data science techniques for the remote sensing research community are welcome. Topics of interest mainly include but are not limited to:
- Artificial intelligence and data science approach for remote sensing
- Reinforcement learning for remote sensing
- Information retrieval for remote sensing
- Big data analytics for beyond 5G
- Edge/fog computing for remote sensing
- IoT data analytics in remote sensing
- Data-driven applications in remote sensing
Prof. Dr. Gwanggil Jeon
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 2400 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.
- artificial intelligence
- data science
- reinforcement learning
- information retrieval
- ibg data analytics for beyond 5G
- edge/fog computing
- IoT data analytics
- data-driven applications
- remote sensing