Fire and smoke exhibit different spatial characteristics: fire regions often contain localized high responses, contour variations, and irregular boundaries, whereas smoke usually presents weak texture, blurred boundaries, and broader spatial extent. Lightweight detectors commonly apply the same kernel-size and dilation...
Pan-Rong Chen, Hai-Peng He, Chao-Yun Mai et al.· 2026 2nd International Confe...· 0 citations
Early-stage flame and smoke in forest fire scenes are often small, weakly textured, and easily confused with complex backgrounds, while many accurate YOLO-based detectors are difficult to deploy on resource-constrained FPGA devices. This study proposes YOLO-FSD, a lightweight detector derived from YOLOv4-tiny for FPGA-...
Chao-Yun Mai, Pan-Rong Chen, Hai-Peng He et al.· Fire· 0 citations
High-resolution remote sensing change detection must distinguish genuine changes from pseudo-changes caused by misregistration, illumination, and texture variations. We propose STDFNet, a lightweight Symmetric Temporal Difference and Multi-Scale Context Gating Network. A shared MobileNetV2 extracts four-level bi-tempor...
Chong-Yi Huang, Jia-Shuo Li, Pan-Rong Chen et al.· 2026 2nd International Confe...· 0 citations
This paper proposes a Dual-Domain Fusion Network (DD-FusNet) for vibration event recognition in Φ-OTDR sensing systems, and believes the proposed DD-FusNet will advance the recognition capabilities of Φ-OTDR systems in complex industrial sensing applications.
Rong Wang, Xinlei Qian, Chong-Yi Huang et al.· Photonics· 0 citations
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