Uncertainty in Remote Sensing Image Analysis (Second Edition)

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 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.