Advanced Methods for Motion Estimation in Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 1767
Special Issue Editors
2. Department of Mathematics, University of California, Los Angeles, CA 90095, USA
Interests: data science; remote sensing; image processing; inverse problems; optimization; computational methods
Special Issues, Collections and Topics in MDPI journals
Interests: mathematical image processing; compressive sensing; inverse problems; optimization; high-dimensional signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The science of remote sensing is rapidly advancing, leveraging increasingly sophisticated computational methods to understand and predict various dynamical phenomena on our planet. A domain at the forefront of these advancements is the use of image alignment, optical flow, and image registration techniques for estimating motion in a variety of atmospheric and oceanic settings. This Special Issue, entitled “Advanced Methods for Motion Estimation in Remote Sensing”, aims to highlight the latest developments, applications, and challenges in this area, aligned with the journal’s scope in publishing innovative research in remote sensing methodologies.
Motion estimation plays a pivotal role in understanding various atmospheric and terrestrial dynamics. Traditional methods have limitations in terms of accuracy and granularity. However, the advent of advanced image alignment, optical flow, and image registration methods presents an opportunity to obtain more detailed and precise motion estimations.
This Special Issue aims to serve as a platform for researchers to share their findings, innovations, and insights in the application of advanced methods for motion estimation in remote sensing. We are particularly interested in manuscripts that showcase the use of these methods in real-world scenarios, bridging the gap between theoretical developments and practical applications.
Articles may address, but are not limited to, the following topics:
- The retrieval of atmospheric motion vectors;
- Oceanic current dynamics and estimation;
- Cloud motion patterns and their implications;
- Dynamics of glacial movements;
- Technical advancements and computational challenges in image registration, optical flow, and image alignment techniques;
- Comparative studies highlighting the benefits and limitations of different motion estimation methods
Dr. Igor Yanovsky
Dr. Jing Qin
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 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 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
- motion estimation
- optical flow
- image alignment
- remote sensing methodologies
- atmospheric motion vectors
- oceanic current dynamics
- image registration techniques
- cloud motion analysis
- glacial movements
- computational challenges in remote sensing
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