InSAR high coherence zoning-based mountain area disaster identification method along oil and gas pipeline

By dividing summer and winter periods in InSAR technology and extracting the deformation results of the corresponding periods by using the phase-weighted superposition method, the problem of InSAR loss in high vegetation areas is solved, and accurate early identification and high-precision monitoring of geological disasters are achieved.

CN119716848APending Publication Date: 2025-03-28CHINA AVIATION OIL PENGZHOU PIPELINE TRANSPORTATION CO LTD +1
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Patent Information

Application Number
CN202411820778.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

When the prior art uses InSAR technology to identify geological disasters in high vegetation areas, there are problems related to seasonal InSAR failure, resulting in poor extraction timing deformation accuracy, which is prone to misidentification and misidentification.

Method used

By obtaining the InSAR timing interference map and coherence coefficient map of the study area, the summer and winter periods are divided, and the deformation results of the corresponding periods are extracted using the phase-weighted superposition method, and the phase-weighted superposition calculation is carried out under seasonal coherence differences to achieve accurate early identification of geological disasters.

Benefits of technology

It effectively improves the accuracy of geological disaster recognition in high vegetation areas by InSAR technology, reduces the occurrence of misidentification and misidentification, and improves the ability to identify disasters in mountainous areas along the pipeline.

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Abstract

The invention discloses an InSAR high coherence zoning-based mountain area disaster identification method along an oil and gas pipeline, and the method comprises the steps: dividing each year into a summer time period, a transition time period and a winter time period according to the change trend of InSAR coherence, and further bringing the transition time period into the summer time period or the winter time period according to the InSAR coherence of the transition time period; stacking-InSAR processing is carried out on InSAR interference pairs in the summer time period and the winter time period respectively, and part of long-time baseline InSAR interference pairs with good interference quality are introduced; and finally, the acquired Stacking-InSAR results in the summer and winter periods are comprehensively utilized to carry out accurate early recognition work of regional geological disasters. According to the method, the blank of InSAR high-coherence partitioning is filled, and various problems that the extraction time sequence deformation precision is relatively poor and the geological disaster hidden danger is mistakenly recognized and missed recognized due to the fluctuation of the coherence of the InSAR in regions with relatively large ground feature scattering characteristic changes, such as dense vegetation coverage, high-altitude ice and snow coverage or grassland wetland, are solved.
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