Physics-Inspired Modeling and Content Adaptive Routing in an Infrared Gas Leak Detection Network

📝 Original Info

• Title: Physics-Inspired Modeling and Content Adaptive Routing in an Infrared Gas Leak Detection Network
• ArXiv ID: 2512.23234
• Date: 2025-12-29
• Authors: Dongsheng Li, Tianli Ma, Siling Wang, Beibei Duan, Song Gao

📝 Abstract

Detecting infrared gas leaks is critical for environmental monitoring and industrial safety, yet remains difficult because plumes are faint, small, semitransparent, and have weak and diffuse boundaries. We present a physicsedge hybrid gas dynamic routing network (PEG-DRNet). First, we introduce the Gas Block, a diffusion-convection unit modeling gas transport: a local branch captures short-range variations, while a global (large-kernel) branch captures long-range propagation. An edge-gated learnable fusion module balances local detail and global context, strengthening weak-contrast plume and contour cues. Second, we propose the adaptive gradient and phase edge operator (AGPEO), computing reliable edge priors from multi-directional gradients and phase-consistent responses. These are transformed by a multiscale edge perception module (MSEPM) into hierarchical edge features that reinforce boundaries. Finally, we propose the content-adaptive sparse routing path aggregation network (CASR-PAN). The network uses adaptive information modulation modules for fusion and self. It selectively propagates informative features across scales according to edge and content cues, enhancing cross-scale discriminabilit...

📄 Full Content

...(본문 내용이 길어 생략되었습니다. 사이트에서 전문을 확인해 주세요.)