Research background
PhD. Gabriel Martin was a Predoctoral Research Associate with the Hyperspectral Computing Laboratory Cáceres (Spain) and Postdoctoral Researcher in "Instituto de Telecomunicaçoes" Lisbon, Portugal. His research interests include remote sensing image processing, specifically the areas of hyperspectral unmixing and hyperspectral compressive sensing, as well as the efficient processing of remote sensing images in High Performance Computing architectures such as GPUs.
CDBB projects involved with
Application of satellite technology in infrastructure monitoring
Research ambitions for CDBB
Development of new methods for infrastructure monitoring by making use of available remote sensing satellite data. The goal is to provide good useful information and insights for decision making regarding civil infrastructures without the need of direct measurements on site. Possible applications would be remote infrastructure monitoring, risk assessments, work planning, between others. In order to achieve these goals the project is mainly focused on multi-source data fusion and information expansion from time-series analysis of remote sensing images, as well as other machine learning and data-driven for decision making algorithms. Of special interest in this topic are InSAR satellite images which are able to measure millimetric movements in terrain, buildings and infrastructures within several days of temporal resolution.
