Underground Tunnel Detection in Mountainous Environment

Abstract

At present, most of the research on detection methods of strip-shaped underground tunnels in mountainous areas using infrared imaging technology at home and abroad adopts the method of analyzing the time-varying law of target signals based on multi-temporal infrared images. And establish a mathematical model to calculate and solve the tunnel position. Or use the microwave infrared enhancement technology to enhance the infrared image according to the mathematical model of microwave power transmission to highlight the contrast of target/background signal strength, so as to realize the detection of the location of the belt-shaped underground tunnel in the mountains. We use the heat between the mountain and the air layer. The radiation model combines the DEM data to calculate the solar radiation energy, and iteratively filters out the background heat flow field energy of the mountain. Combined with hyperspectral data, the background heat propagation energy of the mountain is calculated; the infrared remote sensing image is filtered out using the underground target inversion model. The optimal altitude and disturbance signal distribution map of the belt-shaped underground tunnel in the mountain are obtained from the background heat flow field energy of each layer of the mountain