Sensor-Driven Intelligent Methodologies for Advanced Image Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 141
Editors
Interests: image registration; image denoising; image fusion; object detection and tracking; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: generic object detection; oriented object detection; remote sensing; deep learning theory
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; transportation engineering; railway engineering; control systems engineering; condition monitoring; fault diagnosis; fault detection; remaining useful life prediction; computer vision; object detection; image segmentation; transport engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in sensors technology are evolving information perception from conventional single-source to more advanced multi-source. Modern sensors, such as visible-light, infrared, hyperspectral, depth, synthetic aperture radar (SAR), time-of-flight (ToF), and LiDAR, continuously generate large volumes of data for image processing. At the same time, artificial intelligence technology, especially machine learning and deep learning, has provided powerful tools for extracting meaningful information from such data, greatly improving the accuracy, efficiency, and robustness of image processing. Compared with conventional approaches, image processing methods based on multi-sensor data and artificial intelligence offer more effective information extraction from heterogeneous imaging data, which have shown great potential in tasks such as image matching, enhancement, restoration, segmentation, pattern recognition, and scene understanding.
This Special Issue aims to present and disseminate the most recent advances related to sensor-related and artificial intelligence technologies for image processing. We consider contributions addressing theoretical developments, algorithm design, system implementation, and application studies that advance the state of the art in image processing supported by sensors and artificial intelligence technologies.
Topics of interest for publication include, but are not limited to, the following:
- Artificial intelligence methods for image matching, registration, enhancement, restoration, and segmentation
- Multi-sensor data fusion and heterogeneous image integration for intelligent perception
- Pattern recognition, scene understanding, and visual interpretation using artificial intelligence techniques
- Vision-based sensing, 3D perception, and intelligent image analysis for robotics and autonomous systems
- AI-based signal processing and real-time implementation in sensor imaging systems
- Applications in remote sensing, biomedical imaging, mobile computational photography, and smart monitoring
- Robust image processing in noisy, degraded, and complex environments
Dr. Siyuan Cao
Dr. Qi Ming
Dr. Xiaoxi Hu
Guest Editors
Manuscript Submission Information
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Keywords
- sensors
- artificial intelligence
- image processing
- multi-sensor fusion
- image registration
- image matching
- image enhancement
- image restoration
- scene understanding
- computational photography
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