Sensors and Sensing Technologies for Image Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 January 2027 | Viewed by 76
Editors
Interests: deep learning; image processing; remote sensing; hyperspectral image processing; large-scale deep model optimizing
Interests: remote sensing image classification; optoelectronic intelligent sensing research
Interests: multimodal data processing; remote sensing image classification
Special Issue Information
Dear Colleagues,
This Special Issue focuses on recent advances in sensing systems, data acquisition technologies, and deep learning–driven image processing. With the rapid development of intelligent sensors, edge computing, and artificial intelligence, modern image processing is evolving from conventional post-processing pipelines toward an integrated paradigm of perception–acquisition–understanding. The synergistic optimization of sensing architectures, acquisition mechanisms, and deep neural networks has become a central direction in intelligent vision research.
This Special Issue aims to provide a high-level platform for researchers and practitioners to present theoretical developments, computational models, and practical applications for complex sensing scenarios, thereby promoting the deep integration of advanced sensing technologies and intelligent image analysis.
Topics of interest include, but are not limited to, the following:
- Multimodal sensor fusion and cross-modal collaborative processing;
- Intelligent interpretation, classification, and reasoning for multispectral, hyperspectral, and remote sensing imagery;
- Infrared, thermal, and low-illumination image perception and enhancement;
- AI-driven image denoising, restoration, and reconstruction under complex degradation conditions;
- Object detection, scene understanding, and vectorization in remote sensing imagery;
- Edge intelligence and embedded image processing systems for real-time vision tasks;
- Hardware–software co-optimization of sensing devices, data acquisition, and deep learning frameworks;
- Emerging sensing technologies for image processing.
This Special Issue particularly emphasizes the synergy between sensing technologies and deep learning algorithms to improve image quality, semantic understanding, and intelligent decision-making in complex real-world environments. Contributions with both theoretical significance and practical deployment value are especially encouraged, particularly those integrating sensor characteristics, acquisition constraints, and application-oriented system design.
Unlike existing studies that primarily focus on either sensing hardware or image analysis algorithms in isolation, this Special Issue highlights the holistic collaboration among sensing technologies, data acquisition, and intelligent processing. It advocates system-oriented research for practical deployment scenarios and aims to provide new perspectives and technological pathways for next-generation intelligent sensing and image processing systems.
Dr. Ning Chen
Dr. Jun Yue
Dr. Haoyuan Zhang
Dr. Yingbo Fan
Guest Editors
Manuscript Submission Information
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Keywords
- deep learning-based image analysis
- multimodal and cross-modal sensor fusion
- remote sensing and hyperspectral image interpretation
- edge intelligence for real-time vision
- sensing technologies for image processing
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