Cutting-Edge Algorithms and Characteristic Geo-Applications with Remote Sensing
A Special Issue of Remote Sensing (ISSN 2072-4292) belonging to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 20 January 2027 | Viewed by 743
Editors
Interests: hyperspectral unmixing; hyperspectral classification; hyperspectral anomaly detection; machine learning
Interests: hyperspectral image fusion; hyperspectral classification; high-order tensor analysis
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral image analysis; machine (deep) learning; neural networks; multisensor data fusion; high performance computing; cloud computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of remote sensing technologies has led to an ever-increasing availability of high-resolution, multi-source and multi-temporal Earth observation data. Effectively processing and analyzing such complex datasets requires innovative image processing algorithms that are both robust and accurate in deriving meaningful geospatial information.
This Special Issue focuses on cutting-edge algorithms for remote sensing image processing and their practical applications in representative geospatial domains. Our goal is to foster the exchange of recent methodological progress and implementation experiences that enhance the extraction, interpretation and utilization of remote sensing imagery. We particularly welcome contributions that introduce novel algorithms with improved performance, efficiency and adaptability, as well as case studies demonstrating their effectiveness in real-world geospatial scenarios.
We invite original research and review papers addressing advanced image processing techniques and intelligent algorithms for remote sensing. Contributions that link algorithm development with meaningful geospatial applications are particularly encouraged.
Topics of interest include, but are not limited to, the following:
- Advanced remote sensing image processing methods
- Machine learning and deep learning for classification, segmentation and detection
- Multi-source and multi-temporal data fusion
- Representative geo-applications such as environmental monitoring, urban analysis, agriculture and disaster assessment
Dr. Xuanwen Tao
Dr. Mercedes E. Paoletti
Dr. Juan M. Haut
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-anonymized 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
- hyperspectral image
- image classification
- feature extraction
- artificial intelligence
- image processing
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