Recent Advances in Infrared Target Detection
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 972
Special Issue Editors
Interests: infrared imaging; infrared target detection; imaging processing
Special Issue Information
Dear Colleagues,
Infrared target detection technology offers advantages due to its strong anti-interference capability, high concealment, and all-weather functionality. This technology has been widely applied in ecosystem services, urban monitoring, and environmental protection.
Significant progress has been made in both infrared detection technology and detection algorithms in recent years. Deep learning-based target detection systems have gained considerable attention, while new large-area-array infrared detectors have enhanced the application of detection algorithms in the mainstream field, resulting in notable application features, including vast amounts of image data, the introduction of edge computing, and the integration of multi-sensor and multi-modal data.
Currently, challenges remain regarding the accuracy, real-time performance, and robustness of infrared target detection methods. Therefore, we look forward to researchers in this area proposing innovative approaches.
This Special Issue aims to collect submissions in infrared target object detection, identification, and tracking, including theoretical, methodological papers, and technical application studies, to present the latest advancements and research findings in multi-band, multi-dimensional, and multi-scale infrared target detection.
- Detection and identification of infrared target objects for urban and infrastructure monitoring;
- Detection and identification of infrared target objects for agricultural monitoring;
- Detection, tracking, and identification of infrared target objects for security applications;
- Detection, tracking, and identification of infrared target objects for environmental monitoring;
- Infrared datasets for target object detection and identification;
- Calibration technology for infrared remote sensors;
- Infrared multispectral/hyperspectral target detection;
- Multi-sensor (spatiotemporal and multimodal) data fusion for target object detection and identification;
- Methods, algorithms, and theoretical models for target object detection, tracking, and identification.
Dr. Xia Wang
Prof. Dr. Kun Gao
Guest Editors
Manuscript Submission Information
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Keywords
- infrared target detection
- deep learning
- signal processing
- infrared image enhancement
- multi-resource data fusion
- infrared target tracking
- infrared target monitoring
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