Advanced Multisensor Image Analysis Techniques for Land-Cover Mapping
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 March 2021) | Viewed by 18126
Special Issue Editors
Interests: signal and image processing; hyperspectral image analysis; remote sensing; multisensor data fusion; machine learning and control systems
Interests: image/signal processing; machine learning; remote sensing; hyperspectral imaging; hyperspectral unmixing; data fusion
2. Institute of Advanced Research in Artificial Intelligence (IARAI), 1030 Wien, Austria
Interests: hyperspectral image interpretation; multisensor and multitemporal data fusion
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; image analysis; pattern recognition; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; machine learning; mathematical morphology; hyperspectral imaging; data fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in remote sensing technologies and their corresponding variety provide complementary information for the target detection, analysis, and observation of the Earth. However, the complexity and variety in remote sensing imaging technologies makes the simultaneous interpretation of the different data sources from ground measurements to aerial and space measurements very challenging. First, the large amount of multisource data makes the analysis cumbersome for the end-users. Second, integrating and interpreting multisource data requires one to develop exclusive image analysis techniques due to the different characteristics of the data, which are often caused by differences in the measurement techniques. As a result, conventional image processing techniques often either fail or they are not efficient enough for multisensor data analysis.
The main aim of this Special Issue is to present the most recent image processing and machine learning techniques for land-cover mapping and tracking using multisensor data such as hyperspectral, multispectral, light detection and ranging, and synthetic aperture radar data. We invite both analytical and application-oriented land-cover mapping techniques and procedures that integrate two or more remote sensing measurements, to be submitted in this Special Issue.
Dr. Behnood Rasti
Prof. Magnus Ulfarsson
Dr. Pedram Ghamisi
Prof. Jon Atli Benediktsson
Prof. Jocelyn Chanussot
Guest Editors
Manuscript Submission Information
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Keywords
- Multisensor fusion
- Multitemporal fusion
- Remote sensing
- Land-cover mapping
- Advanced image analysis
- Machine learning
- Deep learning
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