Method for early identification of urban ground deformation disasters
An early identification, ground-based technology, applied in the reflection/re-radiation of radio waves, measurement devices, instruments, etc., can solve problems such as rare application cases, and achieve the effect of preventing human misjudgment and missed judgment, and improving the recognition accuracy.
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Embodiment 1
[0043] like figure 1 As shown, a method for early identification of urban ground deformation disasters includes the following steps:
[0044] Step 1: Regional census based on remote sensing technology: analyze the urban surface data obtained by radar remote sensing or optical remote sensing, conduct preliminary identification of hidden danger areas of urban surface deformation, and determine potential deformation areas;
[0045] Step 2: Detailed inspection of potential deformation zones based on UAV photogrammetry technology: Using fixed-wing and rotor UAVs as carriers, monitor the potential dangerous areas of surface deformation identified in Step 1 through photogrammetry technology, and combine the ground Monitoring station for data check and verification;
[0046] Step 3: On-site verification: including manual verification and manual inspection. For the potential hidden danger points of geological disasters delineated by the above-mentioned technical means, organize profe...
Embodiment 2
[0060] like figure 1 As shown, this implementation is further optimized on the basis of Embodiment 1. This embodiment focuses on the improvements compared with Embodiment 1, and the similarities will not be repeated. In this embodiment, it focuses on the optical remote sensing based The specific way to determine the potential deformation area is as follows:
[0061] Monitoring and identification of regional surface deformation based on optical remote sensing technology: Obtain multi-period high-resolution optical remote sensing data, through supervised classification and partial manual intervention, use the confirmed category of sample pixels to identify other unknown categories of pixels, further The area where the disaster may occur is extracted.
[0062] The specific method of the method for the sample pixel of the confirmed category to identify other unknown category pixels is as follows:
[0063] A. Select training samples
[0064] Select a certain number of training a...
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