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| Application of matching method of the deformation map of slope radar and UAV aerial survey model in landslide monitoring |
| ZHANG Yihai，YU Zhengxing，WEN Jinglin，MA Haitao |
| (China Academy of Safety Science and Technology，Beijing 100012，China) |
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Abstract The ground synthetic aperture radar remote sensing technique has been widely used in slope deformation monitoring due to the advantages of high precision，wide range and all time. Unmanned aerial vehicle (UAV) remote sensing is a newly-developing technology that integrates UAV，remote sensing sensor，GPS differential positioning and other technologies to achieve rapid collection，processing，and application of geographic environmental information. In this paper，the digital elevation model and image model of 3D geomorphic are obtained by UAV aerial survey，and the high-precision point cloud data are extracted by software. The algorithm monitoring was established to screen the point cloud data within the monitoring field according to the geometric relationship of radar linear orbit. The unit monitored by each microwave beam of the S-SAR was regarded as a "basket"，and r and thresholds were solved and set. The r and at each point were calculated，the "shot pattern" method was used to quickly match the deformation values measured by each radar wave to generate a deformation diagram that matched the slope. This method has been successfully applied to the emergency rescue monitoring of slope and landslide in open pit mines，and can accurately identify the dangerous and large deformation area within the scope of radar visual field monitoring，so as to provide the basis for landslide early warning and forecast.
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2021, Vol. 40 
