Multispectral Image Acquisition, Processing and Analysis—2nd Edition
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 October 2023) | Viewed by 21782
Special Issue Editors
Interests: blind estimation of degradation characteristics (noise, PSF); blind restoration of multicomponent images; multimodal image correction; multicomponent image compression; multi-channel adaptive processing of signals and images; unsupervised machine learning and deep learning; multi-mode remote sensing data processing; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: multichannel remote sensing; image processing
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing image processing and analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the continual advances in lightweight and less expensive versions of multispectral sensors and remote sensing platform technology in recent years, end-users are provided with a multitude of timely observational capabilities for the better sensing and monitoring of the Earth’s surface.
To benefit from the full potential of these ever-advancing productive systems in a more flexible and smart manner in many applied fields, we need to continue to improve our analysis and processing capabilities accordingly. Joint efforts for fully automated, easy-to-use and efficient systems are a key direction for facilitating and maturing the operational use of remote sensing.
This Special Issue is thus intended to cover the last advances in the following primary topics of interest (but not limited to these) related to Multispectral Image Acquisition, Processing and Analysis:
- State-of-the-art and emerging multispectral technologies, including new platforms (satellites, aerials and unmanned aerial vehicles) and sensors with:
- Spatial, spectral and temporal sensing abilities;
- Georeferencing and navigation abilities;
- Cooperative sensing;
- Advanced multispectral image/data analysis and processing:
- Lossless/lossy compression and denoising;
- Geometrical, registration and georeferencing processing;
- Feature extraction, classification, object recognition, change detection and domain adaptation;
- Multisource data fusion:
- Optical–radar fusion and pan-sharpening;
- Field sensing;
- Crowd sensing.
A wide spectrum of recent applications highlighting Multispectral Image Acquisition, Processing and Analysis are targeted including biodiversity assessment, vegetation and environmental monitoring (the identification of diversity in grassland species, invasive plants, biomass estimation and wetlands), precision agriculture in agricultural ecosystems and crop management, water resource and quality management in nearshore coastal (mapping near-surface water constituents and benthic habitats) and inland waters (the analysis and surveying of rivers and lakes), sustainable forestry and agroforestry (forest preservation, the mapping of forest species and wildfire detection), mapping archaeological areas, urban development and management, and hazard monitoring.
The first edition of this Special Issue can be found at https://www.mdpi.com/journal/remotesensing/special_issues/Multispectral_Image
Dr. Benoit Vozel
Prof. Dr. Vladimir Lukin
Prof. Dr. Yakoub Bazi
Guest Editors
Manuscript Submission Information
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Keywords
- Imaging sensors and platforms
- Cooperative sensing
- Multispectral data analysis
- Multispectral data processing
- Multisource data fusion
- Deep learning strategies
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