Convolutional Neural Network Applications in Remote Sensing II

Dear Colleagues,

Today, the field of computer vision and deep learning is rapidly progressing, with applications expanding into many areas, including remote sensing, where a myriad of challenges in data acquisition and annotation have yet to be fully solved. A breakthrough by utilizing high-performance deep-learning-based models that typically require large-scale annotated datasets is needed to address these challenges.

This Special Issue is focused on the latest advances in remote sensing using computer vision, deep learning and artificial intelligence. Although broad in scope, contributions with a specific focus are sought.

We welcome papers on topics of interest including, but not limited to:

• Deep learning architecture for remote sensing;
• Deep learning remote sensing image processing, including image fusion, cloud detection and landslide monitoring;
• Machine learning for remote sensing;
• Computer vision method for remote sensing;
• Classification/detection/regression;
• Unsupervised feature learning for remote sensing;
• Domain adaptation and transfer learning with computer vision and deep learning for remote sensing;
• Anomaly/novelty detection for remote sensing;
• New remote sensing datasets and tasks;
• Remote sensing data analysis;
• New remote sensing applications;
• Synthetic remote sensing data generation;
• Real-time remote sensing;
• Deep-learning-based image registration.

Dr. Hyungtae Lee
Dr. Qing Guo
Dr. Sungmin Eum
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.