GlobVision Inc. applications

Satellites are complex systems that are typically well instrumented for monitoring and control purposes. The ever-increasing demands on mission-critical functions, system availability and the rising operational costs of satellites have resulted in an urgent need to autonomously monitor their health and integrity to optimize the life cycle of space missions. This is achieved by combining automation, computational intelligence and model-based design to assess and even predict the health state of the satellites using real-time on-board sensor data (spaced-based) or satellite telemetry (ground-based). GlobVision develops both space- and ground-based state-of-the-art health monitoring and fault diagnosis and prognosis solutions for spacecraft electromechanical systems including sensors and actuators.

GlobVision’s numerous contributions to the Earth Observation (EO) sector have been directed at application developments for the estimation of land surface parameters using remote sensing (e.g. satellite imagery) and in situ data. Our software applications can process a wide range of satellite imagery including high-resolution optical and all-weather synthetic aperture radar (SAR) imagery (single, dual and fully polarimetric). Our software tools contain state-of-the-art feature extraction, pattern recognition, classification and machine learning algorithms developed in-house or by well-known researchers published in the literature.

Intelligent Structural Health Monitoring (iSHM): The health monitoring of highly critical structures such as dams, bridges, oil platforms and other related structures is of extreme importance, not only for the companies responsible for operating and maintaining them, but for the public and the environment at large. GlobVision has tackled the problem of intelligent structural health monitoring (iSHM) using instrumentation/sensor data by partnering with major owners/operators across Canada and the globe, to help improve the safety and long-term reliability of these structures. Over almost two decades, we have developed and tested a wide range of methodologies for iSHM that are mostly data-driven and thus applicable to most instrumented structures. Wherever necessary, we have also customized our iSHM methods for each type of structure depending on its nature, the availability of data, operational constraints, and the short- and long-term behaviour and objectives of the structure.