TY - JOUR
TI - Research on the identification and condition assessment of surface cracks in western mining areas based on drone infrared imaging
AU - Cheng Yang
JN - Thermal Science
PY - 2025
VL - 29
IS - 2
SP - 1049
EP - 1054
PT - Article
AB - Mining-induced ground fissures can lead to significant subsidence, causing  serious damage to the ecological environment of mining areas. This study  developed a drone and infrared camera system for fissure detection by using  image processing techniques. The main conclusions are: collecting infrared  images during periods of significant temperature difference yields better  monitoring results for mining-induced fissures, particularly from 10:50 a.  m. to 2:50 p. m, by calculating convolution, the temperature gradients in  infrared images can be effectively delineated, allowing for more accurate  identification of fissure locations, and the temperature variations of  surface fissures are influenced by specific heat capacity and thermal  convection, with the thermal convection between the air inside the fissures  and the ambient air.