Multi-Source Data Fusion and Feature Extraction for Underwater Target Detection
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 26
Special Issue Editors
Interests: underwater target detection; underwater optical communication; multi-modal data fusion
Special Issue Information
Dear Colleagues,
Underwater target detection faces unique challenges due to turbidity, variable acoustics, and limited visibility. Traditional single-modality approaches often falter in these complex environments. Recent advances in sensing technologies and artificial intelligence have enabled multi-extraction approaches—extracting diverse features from heterogeneous data sources—and sophisticated fusion algorithms that combine information across sensors, domains, and scales. This research area is crucial for maritime security, underwater archeology, marine conservation, and autonomous underwater vehicle navigation.
This Special Issue showcases cutting-edge research in multi-extraction and fusion techniques for underwater target detection. We seek interdisciplinary contributions bridging theoretical innovations with practical implementations. Our focus aligns with the journal's commitment to advancing technological solutions for complex environmental challenges, particularly in domains characterized by unique physical constraints. Potential topics include, but are not limited to:
- Multi-modal sensor fusion architectures;
- Deep learning for underwater feature extraction;
- Underwater multi/hyper-spectral target detection/classification;
- Feature extraction and target recognition in multidimensional data;
- Fusion and applications of underwater multi-modal information;
- Cross-domain feature integration;
- Heterogeneous data fusion algorithms;
- Real-time processing for multi-sensor systems;
- Optical–acoustic data fusion methodologies;
- Bio-inspired detection approaches;
- Advanced signal processing for noisy environments;
- Machine learning for underwater target classification.
Dr. Min Fu
Prof. Dr. Salah Bourennane
Guest Editors
Manuscript Submission Information
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Keywords
- target detection
- multi-modal fusion
- feature extraction
- underwater data classification
- multispectral imaging
- multi-sensor systems
- data fusion
- signal processing
- underwater sensing
- acoustic–optical fusion
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