This module gives a semi-supervised machine learning based information mining approach to detect deformation hotspots from InSAR derived displacement maps.
The set of programs can be used for post-processing InSAR deformation maps obtained from multi-temporal InSAR processing.
Related paper citation:
Tiwari, Ashutosh; Shirzaei, Manoochehr (2024). A novel machine learning and deep learning semi-supervised approach for automatic detection of InSAR-based deformation hotspots, International Journal of Applied Earth Observation and Geoinformation Volume 126, DOI: [10.1016/j.jag.2023.103611]
Publisher
University Libraries, Virginia TechLocation
BlacksburgCorresponding Author Name
Ashutosh TiwariFiles/Folders in Dataset and Description
insar_deformation_hotspots-main
Programs
p01_time_series_unsupervised_clustering_rts.py: This program perform time series clustering for InSAR time series displacement using time series k-means algorithm
p02_Individual_cluster_dbscan_clustering.py: This program performs spatial clustering over individual temporal clusters detected using p01.
p03a_LSTM_supervised_classification_dbscan_out.py: Program for supervised classification using LSTM networks with clusters generated from results of p02 acting as training labels.
p03b_LSTMP_supervised_classification_dbscan_out.py: Program for supervised classification using LSTM and perceptron networks with clusters generated from results of p02 acting as training labels.
p03_plot_dbscan_clusters.m: A program for plotting the resulting clusters from p02.
p04_finding_spatial_correlation_lengths.m: Finding spatial correlation lengths for displacement in the study area, to find out a threshold for removing widespread unwanted clusters.
p05_spatial_dispersion.m: Finding spatial dispersion of individual clusters generated from p02. Those with large dispersions would be removed.
LICENSE: the license appended to this software
README.md: guidance on how to use this software
requirements.txt: requirements to run this software
Data
elpx_ll.mat: Coordinates for elite pixels
MVel.mat: One dimensional line of sight velocities
MVelq.mat: Standard deviation for line of sight velocities
Pco_m.mat: Mean coherence
R_TS_den.mat: Displacement time series
