Research on remote sensing detection method for distributed subsurface targets inside mountain bodies

With the continuous promotion of urban modernization, the development and utilization of underground space has been widely emphasized to ensure the sustainable use of land resources. Research on the detection of underground targets can reveal the internal conditions of underground space, provide help for the planning and construction of underground space, and promote the improvement of underground facility design methods. Research on underground pipelines and other small underground target detection is also important, through detection can grasp the direction and distribution of pipelines, can timely locate the location of pipeline faults; can timely find and stop the illegal behavior of privately connected underground pipelines, and promote the improvement of urban management. At present, domestic and foreign research on underground target detection methods using remote sensing technology is mostly based on multi-temporal infrared images of underground target detection method, which has a large sample size and high difficulty in obtaining data, and the research object is limited to small underground targets with certain characteristics and shallow burial depth, which has great limitations. Therefore, this paper proposes the method of using infrared remote sensing technology to detect the distributed subsurface targets inside the mountain, and fully considers the influence of the mountain vegetation and solar radiation.