The invention discloses an MT-InSAR
deformation monitoring method in combination with reservoir
bank landslide deformation spatial-temporal characteristics. The method comprises the following steps: S1, selecting SAR data; step S2, constructing small baseline set InSAR data, including SAR
image registration, interferogram combination, differential interference
processing, phase filtering, coherence
estimation and interferogram optimization combination; s3, based on the dual-polarized SAR intensity image, performing
earth surface classification in combination with
random forest classification, gradient and direction constraint and a deep neural network; then adaptive homogeneous filtering is carried out on the
interferometric phase based on a secondary
classification result; s4, combining a plurality of Sigmoid functions and a linear
creep and periodic function to obtain an adaptive deformation model of the reservoir
bank landslide; s5, performing deformation parameter nonlinear search by using a
genetic algorithm to determine an optimal parameter set; on the basis of low-frequency deformation, atmospheric
delay and decoherence
noise are separated through low-pass filtering of a space domain and high-pass filtering of a
time domain, and finally a deformation
time sequence and an average deformation rate are recovered.