Multisensor Data Fusion 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 (30 November 2018) | Viewed by 116022
Special Issue Editors
Interests: remote sensing data analysis; hyperspectral image analysis; machine learning; spectral unmixing
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing; remote sensing; Synthetic Aperture Radar; hyperspectral imaging
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; image processing; data fusion; machine learning; disaster management; environmental monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, a large variety of sensors are available to monitor the Earth surface. Data fusion aims at the combined use of data from multiple sensors, rather than analyzing data from each of these sensors individually. Multisensor data fusion has been an active topic of research for more than 2 decades and has been recently boosted by openly available big remote sensing data, e.g. offered by the ESA’s Copernicus program.
This Special Issue aims to report the latest advances and trends in the field of multisensor data fusion for remote sensing. Both theoretical and application-oriented papers are welcome. It will cover (but will not be limited to) the following topics:
- Multisensor and multimodal data fusion using a variety of sensors such as optical imaging, SAR, and LiDAR
- Fusion of remote sensing data and open geospatial data including StreetView images, open GIS data, and social media data
- Multisensor image fusion for spatial resolution enhancement such as pan-sharpening, multi/hyperspectral image fusion, and downscaling of multiresolution imagery
- Multisensor spatio-temporal data fusion
- Matching and co-registration of multisource data
- New developments in estimation theory and machine learning for data fusion
- Multisensor data fusion for specific tasks such as classification, object recognition, change detection, and biophysical parameter estimation
- Applications of multisensor data fusion
Prof. Xiao Xiang Zhu
Dr. Naoto Yokoya
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
- Multisensor image fusion
- Decision fusion
- Pansharpening
- Hyperspectral image fusion
- Spatio-temporal data fusion
- Spatial resolution enhancement
- Machine learning for data fusion
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