Chen Yuheng, Pei Zhongshi, Mao Xiaoxuan, Fan Lulu, Xu Meng, Li Yang, Wang Dongsheng, Yi Junyan
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.
Sci Total Environ. 2024 Jun 1;927:172312. doi: 10.1016/j.scitotenv.2024.172312. Epub 2024 Apr 8.
The surge in urban development has resulted in a substantial accumulation of construction solid waste (CSW). However, prevailing identification methods of CSW remain predominantly two-dimensional in scope and need to be more efficient. This study employs an approach, combining simulation and experimental analyses, to delve into the factors influencing the electromagnetic scattering characteristics of CSW, investigating the feasibility of employing Synthetic Aperture Radar (SAR) to recognize CSW. The findings show that the computational time of MLFMM and PO is only 3.28 % and 0.029 % of MM among different simulation methods. The results underscore the collective impact of material types, surface structures, and curvature on the scattering characteristics of CSW. The difference in average intensity between different materials can reach up to 13 dB. Exploiting these distinctions in scattering enables the precise identification of high-value waste components, such as intact bricks and steel bars, within the intricate landscape of CSW.
