Intelligent deformation area extraction method and system based on radar sequence image

Abstract

The invention discloses an intelligent deformation area extraction method and system based on radar sequence images, relates to the technical field of radar survey, and can accurately and efficiently extract deformation distribution. The method comprises the following steps: acquiring multiple frames of radar images used for slope monitoring through a synthetic aperture radar to calculate slope data corresponding to each pixel point in the radar images, wherein the slope data comprises deformation displacement, deformation rate, deformation deviation and permanent scatterer distribution density; performing sequence feature vectorization representation on the slope data corresponding to each pixel point in the multi frames of the radar images to form a data set; performing linear transformation on each pixel point in the data set to obtain a query vector Q, a key vector K and a value vector V corresponding to each pixel point; and based on the slope data, carrying out quartering on the query vectors Q, the key vectors K and the value vectors V, calculating the correlation degree of each pixel point in each frame of the radar images through multi-head attention, and outputting a deformation identification result of each pixel point to realize the extraction of a deformation area.

Description

technical field [0001] The invention relates to the technical field of radar surveying, in particular to a method and system for intelligently extracting deformation regions based on radar sequence images. Background technique [0002] As a ground-based active microwave remote sensing technology, the radar imaging system has become one of the most widely used deformation monitoring methods in recent years due to its advantages such as not being easily affected by the environment and climate, flexible and portable equipment, and stable and accurate monitoring. [0003] The radar automatically acquires slope sequence data after setting the time interval for data collection, and delineates candidate deformation areas based on manual experience and scene characteristics. When the monitoring area reaches the deformation threshold, the system sends out an alarm. [0004] The difficulty in the radar deformation monitoring system lies in the selection of the monitoring area, which i...

AI Technical Summary

Problems solved by technology

[0004] The difficulty in the radar deformation monitoring system lies in the selection of the monitoring area, which is too artificially affected, and there may be errors that cause abnormal phase changes. Interference will be considered as the deformation area, so manual selection of the monitoring area is not reliable

[0005] The existing radar deformation monitoring system mainly relies on experience to manually select areas for monitoring. It is easy to miss the alarm due to missing deformation areas, which has a serious impact on the subsequent prediction of slope disaster trends.

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