Landslide early recognition method based on small baseline set time sequence InSAR

A time series, small baseline set technology, applied in scene recognition, character and pattern recognition, reflection/re-radiation of radio waves, etc., to achieve the effect of good coherence

Inactive Publication Date: 2017-09-05
INST OF EXPLORATION TECH OF CHINESE ACAD OF GEOLOGICAL SCI
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  • Landslide early recognition method based on small baseline set time sequence InSAR
  • Landslide early recognition method based on small baseline set time sequence InSAR
  • Landslide early recognition method based on small baseline set time sequence InSAR

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[0055] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] figure 1 As shown, a landslide early identification method based on time series InSAR with a small baseline set includes the following steps:

[0057] S1. Select N+1 SAR images in the L band:

[0058] The long-wavelength advantage of the L-band can not only penetrate clouds, but also penetrate a certain thickness of vegetation canopy, obtain monitoring signals from the ground surface, and reduce the impact of time decoherence caused by changes in vegetation growth. In addition, when large deformations occur on the surface, such as earthquakes and landslides, the fringe density of the interferogram obtained in the L-band is significantly lower than that of the data with s...

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Abstract

The invention discloses a landslide early recognition method based on a small baseline set time sequence InSAR, and the method comprises the following steps: S1, selecting N+1 SAR images at a band L; S2, carrying out the focused imaging of the SAR images; S3, selecting a common image; S4, carrying out the registering and resampling of the time sequence SAR images; S5, generating a difference interferogram according to a small baseline rule; S6, extracting a point target and forming a network; S7, untwisting of a sparse network; S8, removing an atmosphere phase; S9, calculating the sedimentation rate through an SVD method. Aiming at a typical landslide-prone region, the method achieves the landslide deformation monitoring based on the time sequence InSAR technology through the stored SAR satellite data, achieves the high-precision discovery and mastering of the landslide deformation law, and provides an economical, effective and reliable microwave remote sensing technological guarantee for the prevention of landslide geological hazards.

Description

technical field [0001] The invention relates to a landslide early identification method based on the time series InSAR of a small baseline set. Background technique [0002] Gently-dipping rock landslides in eastern Sichuan have the characteristics of mass, sudden, and destructive, and large-scale (or local) heavy rainfall often induces a large number of mass landslide disasters. In 2007, heavy rainfall in eastern Sichuan induced hundreds of landslides in developed counties. In September 2011, heavy rainfall caused thousands of landslides in Nanjiang County, Bazhong City. Nanjiang County alone had 1,162 new landslides, of which the scale exceeded 10 million square meters There are 6 extra-large landslides in China. Due to the sudden occurrence triggered by heavy rainfall, it was not obvious beforehand and had obvious suddenness, causing huge damage to people's lives and property. In recent years, the early identification of landslides has been in the foreword field. How to...

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IPC IPC(8): G01S13/90G06K9/00
CPCG01S13/9023G01S13/904G01S13/9047G06V20/13
Inventor 苗朝石胜伟张勇谢忠勇谢忠胜张涛蔡佳君
Owner INST OF EXPLORATION TECH OF CHINESE ACAD OF GEOLOGICAL SCI
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