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
Accurate remote sensing change detection requires separating genuine land-cover changes from appearance variations while retaining small objects and boundaries. This paper presents a Lightweight Cross-Temporal Gating Network (LCTGNet), a compact Siamese convolutional model for bi-temporal images. A single shared Mobile...
Hao Xie, Chao-Xu Liang, Hong-Fan Lin et al.· 2026 2nd International Confe...· 0 citations
Remote sensing change detection (RSCD) aims to identify land-cover changes from bitemporal images and is widely used in urban monitoring, disaster assessment, and land-resource analysis. Lightweight RSCD models usually rely on compact backbones and efficient temporal interaction, but most of them update bitemporal feat...
Chaoyun Mai, Hai-Peng He, Hao Xie et al.· IEEE Journal of Selected Top...· 0 citations
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