Computational Intelligence and Advanced Learning Techniques 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 July 2021) | Viewed by 79746
Special Issue Editors
Interests: multi/hyperspectral remote sensing; image processing and analysis; machine learning; pattern recognition; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral remote sensing; machine learning; unmanned aerial vehicle (UAV)-based imaging platform developments; precision agriculture; high-throughput plant phenotyping
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing image processing and analysis; computer vision; machine learning; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Interests: very high-resolution remote sensing images; land cover change detection; landslide inventory mapping; land cover classification and pattern recognition; remote sensing application; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the last couple of decades, remote sensing has represented a fundamental technology to monitor urban and natural areas at local and global scales. Important achievements have been obtained thanks to the growing availability of sensors having improved spatial and spectral resolutions and placed on different platforms such as satellite, airborne, and newly developed UAVs systems.
Such improvements in terms of acquisition capabilities open at the same time relevant challenges in terms of processing methodologies. More specifically, traditional image analysis techniques are impractical and ineffective to extract meaningful information from the growing amount of collected data. New strategies from both the methodological and the computational sides are required to deal with this massive amount of data.
In this Special Issue, we welcome methodological contributions in terms of innovative computational intelligence and learning techniques as well as the application of advanced methodologies to relevant scenarios from remote sensing data. We invite you to submit the most recent advancements in the following, and related, topics:
- Machine learning and pattern recognition methodologies for remote sensing image analysis
- Deep, transfer, and active learning from single and multiple sources
- Semantic and image segmentation
- Manifold learning
- Large-scale image analysis
- Change and target detection in single- and multi-temporal analysis
- Multi-modal data fusion
- Near-real time and real-time processing
Dr. Edoardo Pasolli
Dr. Zhou Zhang
Dr. Zhengxia Zou
Dr. ZhiYong Lv
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
- Remote sensing
- Machine learning
- Pattern recognition
- Deep learning
- Domain adaptation
- Active learning
- Manifold learning
- Semantic segmentation
- Data fusion
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