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Structural and Terrain Characterization: - High resolution terrain modeling using optical satellite images - 3D city modeling using monoscopic or stereoscopic optical satellite data - Building Inventory compilation using remotely sensed data Algorithmic Data Fusion: - Multi-sensor data fusion for 3D modeling using different satellite platforms - Sensor and ground based data fusion Infrastructure Risk Analysis: - Application of remote sensing in updating loss estimation models. - Post-event damage assessment using joint/disjoint 2D satellite images and 3D city models - Pre-event risk mitigation using remote sensing data |
Advanced Global Risk Assessment Laboratory |
Remote Sensing and GIS |
Damage Diagnosis Algorithms using Pattern Classification Techniques: - Feature Extraction using: (i) time series models and (ii) Wavelet methods - Pattern classification using (i) hypothesis testing and (ii) Gaussian Mixture Models Data Pre-processing Algorithms to Compare Signals (vibration, strain) from different Loading and Environmental Conditions: - Wavelet based Denoising Schemes and Principal Components Analysis - Independent Component Analysis Damage Localization in Structural Systems: - Scenario based optimization schemes - Markov Localization Schemes Data Fusion for Structur Health Monitorning (SHM): - Feature Fusion - Damage Decision Fusion Substructural System Identification Damage Prognosis |
Local Sensing and Damage Diagnosis |