This special session aims to bring together cutting-edge research on multimodal signal processing techniques that integrate radar, sonar, optical, and acoustic sensing for environmental monitoring, communication, and remote sensing. With the growing complexity of real-world applications, there is an urgent need for robust and intelligent systems capable of fusing heterogeneous data sources to achieve higher accuracy and reliability. This session will highlight innovations in signal/image processing, machine learning-driven fusion methods, and novel computational models that enhance perceptual capabilities in challenging environments. Contributions are expected to address both theoretical advances and practical implementations, providing insights into future directions for multimodal sensing systems.

Related topics:
• Novel radar/sonar signal processing architectures for environmental observation
• Deep learning-based fusion of multimodal remote sensing data
• Advanced synthetic aperture radar (SAR) and sonar image interpretation
• Electromagnetic and acoustic hybrid communication systems
• Target detection and recognition in cluttered or noisy environments
• Multimodal sensor networks for autonomous systems
• Signal compression and transmission optimization in constrained bandwidth
• AI-enhanced inverse problems in imaging and sensing
• Ethical and security aspects of multimodal sensing applications
• Real-time embedded systems for multimodal signal processing

The manuscript should be submitted via the submission link (http://www.easychair.org/conferences/?conf=icsip2026), or to  icsip2016@vip.163.com before the submission deadline (February 5, 2026).

Special Session Chairs:

Assoc. Prof. Jiahua Zhu, National University of Defense Technology, China

Assoc. Prof. Bingbing Zhang, National University of Defense Technology, China

Asst. Prof. Wei Guo, National University of Defense Technology, China

Assoc. Prof. Pan Xu, National University of Defense Technology, China