Multi-threshold optimized deformation inversion method and system of micro-variable sensing early warning radar

Abstract

The invention discloses a multi-threshold optimized deformation inversion method and system of a micro-variable sensing early warning radar, and belongs to the technical field of radar detection. Themulti-threshold optimized deformation inversion method and system of the micro-variable sensing early warning radar can automatically identify an optimal threshold on the basis of acquired radar timing-sequence image maps, thereby improving the accuracy of deformation inversion results. The multi-threshold optimized deformation inversion method comprises the steps that S1, N+1 timing-sequence images are sequentially obtained on the basis of the micro-variable sensing early warning radar; S2, pixels according with threshold value conditions are screened out from the timing-sequence images by strict threshold value screening, and deformation quantity is calculated after the pixels according with the threshold value conditions are defined as stable points; S3, the threshold value conditions are relaxed gradually, pixels according with the relaxed threshold value conditions are correspondingly screened out from the timing-sequence images, and the deformation quantity is calculated after the pixels according with the relaxed threshold value conditions are defined as dynamic points; and S4, whether the current deformation quantity of the dynamic points and the current deformation quantity of the stable points are subjected to sudden changes or not is judged, if sudden changes do not occur, the S3 is carried out, and if the sudden changes occur, the current threshold value conditionsare output as optimal threshold values.

Description

technical field [0001] The invention relates to the technical field of radar detection, in particular to a multi-threshold optimization method and system for a micro-variation sensing early warning radar. Background technique [0002] my country is one of the countries with the most frequent occurrence of geological disasters in the world. Among all kinds of common site disasters in my country, the number of landslides accounts for more than 70% of the total geological disasters, and it is the most important type of geological disasters that occur in mountainous areas. The deformation monitoring of the landslide can objectively and truly record the development and evolution process of the slope deformation, which is of great significance for understanding the evolution law of the slope and accurately predicting the development trend of the slope. The micro-change perception and early warning radar is a kind of ground-based radar, which can be used for slope deformation monit...

AI Technical Summary

Problems solved by technology

[0003] Although microwave remote sensing can penetrate the atmosphere for imaging, the atmosphere will affect the final accuracy of the deformation results

Permanent scatterers (PS) interferometry technology is an effective means for ground-based SAR to suppress disturbance factors such as atmosphere and water vapor to obtain high-precision deformation information; in the process of detecting terrain deformation, the selection of PS points has a great influence on the accuracy of terrain deformation detection results. The impact is particularly critical. The existing PS point selection methods can be divided into single-threshold screening method and multi-threshold information screening method. Among them, the single-threshold screening method, such as the coherence coefficient method, is easy to filter because it is only based on a certain characteristic of the PS point. Therefore, there is a defect that the accuracy of the obtained terrain deformation detection results is poor. The existing multi-threshold information screening method, such as the phase error index-amplitude index combination method, can effectively solve the problem existing in the PS point screening process. Misjudgment or missed judgment, but because the existing multi-threshold information screening method needs to manually select or adjust the threshold before the deformation monitoring starts, if the artificially set threshold is unreasonable, it will lead to deviations in the quality and quantity of PS selection. And then affect the accuracy of deformation inversion results

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