InSAR Norway
Machine Learning Research
Exploring advanced techniques for automated detection and categorization of geophysical events in Norway.
Data Preprocessing
Ambiguity Correction
Techniques for addressing phase ambiguity in InSAR measurements.
Explore MethodData Imputation
Methods for handling missing data and filling gaps in time series.
Explore MethodAnomaly Detection
RANSAC Baseline
Robust linear regression for trend estimation and outlier detection in time series.
Explore MethodAutoencoder
Deep learning reconstruction model for identifying anomalous behavior patterns.
Explore MethodGraph Autoencoder
Graph-based reconstruction for preserving spatial dependencies.
Explore MethodClustering
Batched K-Means
Scalable mini-batch clustering for large-scale InSAR datasets.
Explore MethodSpatial Smoothing
Enhancing clustering by smoothing features over graph neighborhoods.
Explore Method