Grant: Engage Grants Program

Retrieval of environmental parameters required by Noetix Research environment monitoring and decision-support systems is to a large extent based on the integration of multi-source remote sensing data. It is an important challenge to extract pertinent information from multi- or hyper-spectral sensors of different resolution, which produce intricate, high-dimensional, nonlinear data. The objective of the work carried out in this project is the development of such multi-scale attention-focusing and filtering methods that would allow for the automation of remote-sensing data fusion and analysis. The project features novel hybrid Computational Intelligence and adaptive spatio-temporal filtering methods used for fusing satellite data and enhancing the natural scene recognition and interpretation process. The primary application areas targeted by the project are inland water quality monitoring and sustainable agriculture. The project is of particular relevance to the company's Water Quality service, and will provide the Noetix software with the capacity for advanced data fusion and exploratory analysis.