Uncertainty in Remote Sensing Image Analysis (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 2806
Special Issue Editors
Interests: semantic segmentation of remote sensing images; uncertainty analysis of remote sensing images; change detection using of remote sensing images; reliability analysis of spatio-temporal data
Interests: image processing and uncertainty analysis; quality evaluation and analysis in remote sensing; uncertainty modeling and quantification; uncertainty control; remote sensing intelligent interpretation; deep learning; image classification and change detection
Interests: remote sensing; image analysis; pattern recognition; signal processing
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Special Issue Information
Dear Colleagues,
Remote sensing has been widely used in various fields, such as agriculture, ecology, and urban planning, to extract useful information from satellite or aerial imagery. It should be noted that the reliability of remote sensing data is essential for further applications and scientific decision making. However, the complexity of natural environments and remote sensing imaging processes determines that uncertainty is an inherent attribute of remote sensing data. Moreover, different degrees of uncertainty may be introduced at various stages of processing and analysis. These uncertainties decrease the accuracy and reliability of the results of analyses and applications to different extents, thus hindering the improvement of remote sensing technology. Therefore, uncertainty has always been a key issue and research focus in the field of remote sensing.
In recent years, significant progress on quantifying, controlling, modeling, and analyzing the uncertainties in remote sensing image analysis and applications has been made. We invite researchers and practitioners to submit research papers to this Special Issue on “Uncertainty in Remote Sensing Image Analysis II”. We welcome contributions that are not simply limited to the following topics:
- Sources of uncertainty in remote sensing data;
- Methodologies for uncertainty quantification in remote sensing image analysis and applications;
- Uncertainty evaluation in image interpretation and analysis;
- Algorithms or tools developed for uncertainty modeling;
- Uncertainty reduction in remote sensing image processing;
- The propagation of uncertainty in remote sensing applications;
- Case studies that demonstrate the importance of uncertainty analysis in remote sensing applications.
Dr. Penglin Zhang
Dr. Qi Zhang
Prof. Dr. Jon Atli Benediktsson
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
- image processing and uncertainty analysis
- uncertainty in remote sensing applications
- uncertainty quantification
- uncertainty suppression/control
- error or uncertainty modeling
- process or mechanism of uncertainty propagation
- data quality
- reliability
- the impact of uncertainty on decision making
- geospatial statistics
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Related Special Issue
- Uncertainty in Remote Sensing Image Analysis in Remote Sensing (10 articles)