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Pattern Recognition and Image Processing for Remote Sensing (3rd Edition)
This special issue belongs to the section “Remote Sensing Image Processing“.
Special Issue Information
Dear Colleagues,
This is the third volume of the Special Issue “Pattern Recognition and Image Processing for Remote Sensing”, which has been a great success.
Remote sensing provides a global perspective and a wealth of data about earth systems, allowing us to visualize and analyze objects and features on the earth’s surface. Today, pattern recognition and image processing technologies are revolutionizing earth observation and presenting unprecedented opportunities and challenges. Despite recent progress, there are still some open problems and challenges, such as deep learning with multi-modal and multi-resolution remote sensing images, light-weight processing for large-scale data, domain adaptation, and data fusion.
To answer these questions, this Special Issue focuses on presenting the latest advances in pattern recognition and image processing. We invite you to submit papers with methodological contributions and innovative applications. All types of image modalities are encouraged, such as multispectral imaging, hyperspectral imaging, synthetic aperture radar (SAR), multi-temporal imaging, LIDAR, etc. The platform is also unrestricted, and sensing can be carried using drones, aircraft, satellites, robots, etc. Any other applications related to remote sensing are welcome. The potential topics may include, but are not limited to, the following:
- Pattern recognition and machine learning;
- Deep learning;
- Image classification, object detection, and image segmentation;
- Change detection;
- Image synthesis;
- Multi-modal data fusion from different sensors;
- Image quality improvement;
- Real-time processing of remote sensing data;
- Unsupervised learning and self-supervised learning;
- Advanced deep learning techniques (e.g., generative adversarial networks, diffusion probabilistic models, and physics-informed neural networks);
- Applications of remote sensing image in agriculture, marine, meteorology, and other fields.
Dr. Zhengxia Zou
Dr. Bin Pan
Dr. Xia Xu
Dr. Zhou 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
- pattern recognition
- image processing
- machine learning
- deep learning
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