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Subterranean Termite Detection with a Ground Penetrating Radar Technique

基于雷达遥感技术的土栖白蚁探测


应用一种非破坏性的地球物理探测技术——雷达遥感技术,探测土栖白蚁巢穴。通过对金属管和蚁巢的掩埋模拟探测试验,测定地下目标影像尺寸,建立目标-影像尺寸线性关系模型,构建土栖白蚁蚁巢的二维和三维影像图; 通过林地实地探测,获取不同目标反射的影像数据,有代表性地开挖验证,初步获得金属、树根、空洞和蚁巢4类地下主要目标影像特征; 蚁巢尺寸的雷达遥感测量数据综合误差率为1.93%。雷达地下遥感探测技术是土栖白蚁监测和防灾减灾的有效辅助工具。

A non-invasive geophysical exploring method,ground penetrating radar (GPR) technique was used to detect subterranean termite nests. With a simulation experiment in which the GPR was used to detect the target‘s profiles of artificially buried metal pipes and termite carton nest, linear regression models between target and image sizes were established. Two and three dimensional nest images were created. After field survey,excavation was conducted to verify targets based on representative GPR profile data,features of GPR profiles of metal objects,voids,tree roots and termite nests were describe. The average error rate in determining nest size was 1.93% using the linear correlating model. Our study showed that GPR system was a useful assistant tool for monitoring and prevention subterranean termite.