Special Issue "Advanced Deep Learning Techniques for Earth Observation and Applications"
Deadline for manuscript submissions: 31 December 2021.
Interests: target detection; machine learning; deep learning; hyperspectral image processing
Interests: hyperspectral image processing; deep learning; domain adaptation
Satellite sensors are of great value to Earth observation by virtue of the advantages of high-frequency revisit, high spatial coverage, and relatively low price. In recent years, the rapid growth of deep learning techniques has significantly promoted the potential for developing advanced algorithms for various remote sensing applications, such as urban monitoring, land observation and sea surveillance. However, the increasing amount of remote sensing data puts forward higher requirements on learning algorithms. How to effectively and efficiently extract information from the massive remote sensing data to assist specific applications is a promising direction.
This Special Issue aims to exploit the advanced deep learning technology to further push forward the potential of geoscience information extraction from remote sensing data. Potential topics include, but are in no way limited to:
- Supervised/self-supervised/semi-supervised learning for remote sensing data analysis
- High-resolution remote sensing image processing based on deep learning
- Efficient neural networks for remote sensing data processing
- Image classification, semantic segmentation, target detection and change detection in remote sensing images
- Adversarial learning for remote sensing image processing
Prof. Dr. Zhenwei Shi
Dr. Bin Pan
Dr. Shuo Yang
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.
- Earth observation
- Deep learning
- Image classification
- Change detection
- Target detection
- Supervised learning