Research on GB-SAR slope deformation geocoding method based on Bayes theorem
Year: 2025
Type: article
Abstract: In recent years, the ground based deformation monitoring radar (GB-SAR), as an emerging remote sensing deformation monitoring technology equipment, has become a research hotspot in the field of open pit mine slope safety and landslide geohazard prevention and control. In this paper, for the fuzzy problem of spatial localization of pixel units in the superimposed mask area of radar image, the Bayesian statistical framework is introduced into the spatial geographic coding of foundation deformation monitoring radar for the first time, and the maximum a posteriori probability function model is established on the basis of the incidence angle of the target of the slope feature and the elevation angle of the antenna's vertical direction map, so as to realize the three-dimensional visualization of landslide deformation hazardous areas, and to give full play to the technological support of the early warning of landslide disaster by foundation deformation monitoring radar.
Source: Geocarto International
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,390
OpenAlex ID: W4416570966