ICIEA 2026 Special Session

SS08: Advanced Remote Sensing Image Processing for Intelligent Industrial Applications

Organized by:

Organizer 1: Xu Wang

Email: wangxu9191@gmail.com

Affiliation: Wuhan University of Technology, China

Organizer 2: Luyao Wang

Email: wangluyao@nudt.edu.cn

Affiliation: National University of Defense Technology, China

Organizer 3: Xian Zhong

Email: zhongx@whut.edu.cn

Affiliation: Wuhan University of Technology, China

Organizer 4: Jiawei Du

Email: dujiawei@u.nus.edu

Affiliation: Agency for Science, Technology and Research, A*STAR, Singapore

Organizer 5: Xiaohan Yu

Email: xiaohan.yu@mq.edu.au

Affiliation: Macquarie University, Australia

Summary of session:

Remote sensing image processing technology is evolving from a macroscopic observation tool into a key enabling technology that drives the intelligence, precision, and sustainable development of modern industry. Recent breakthroughs in computer vision, artificial intelligence, and industrial electronics have opened up revolutionary opportunities for intelligent perception and decision-making across domains such as smart manufacturing, infrastructure monitoring, and environmental management.

However, transferring these technologies from the laboratory to real-world industrial scenarios presents unique challenges—such as model generalization under complex conditions, scarcity of annotated data, and the integration of physical mechanisms—that demand dedicated research efforts. Meanwhile, the boundaries of traditional industrial electronics and applications are being expanded by the emergence of integrated air–space–ground–sea data networks, highlighting the need for an interdisciplinary platform that bridges innovations in remote sensing, computer vision, and industrial intelligence.

This Special Session is proposed to bring together researchers, engineers, and industry experts to exchange ideas and foster cross-disciplinary collaboration. It emphasizes algorithmic innovation with potential industrial relevance, encouraging both fundamental research (e.g., model architectures, learning paradigms, multimodal data understanding) and application-oriented studies that contribute to the next generation of intelligent and sustainable industrial systems. By complementing IEEE ICIEA’s focus on industrial electronics, automation, and intelligent systems, this session aims to stimulate new research directions and build stronger links between academic advances and industrial frontiers.

Topics of Interest (include but are not limited to):

• Advanced Remote Sensing Interpretation Models: Scene classification, object detection, and semantic segmentation using deep learning, few-shot learning, and self-supervised learning.
• Multi-Modal Data Fusion: Synergistic analysis of optical, SAR, hyperspectral, LiDAR, and meteorological data for enhanced perception and reasoning.
• Multi-Modal Data Fusion: Synergistic analysis of optical, SAR, hyperspectral, LiDAR, and meteorological data for enhanced perception and reasoning.
• Specialized Algorithms for Industrial and Environmental Scenarios: Change and anomaly detection, 3D reconstruction, and spatio-temporal understanding for intelligent inspection and monitoring.
• Remote Sensing Data Synthesis and Augmentation: Generative modeling (GANs, diffusion models) and simulation-driven data enrichment for limited-sample scenarios.
• Edge and Embedded Intelligence: Lightweight model design, onboard real-time processing, and hardware–software co-optimization for satellites, UAVs, and IoT platforms.
• Industrial and Societal Case Studies: Explorations and evaluations in smart cities, disaster prevention, energy management, transportation, and precision agriculture.