17/Mar/2021 10:45 - 11:30
language of event
by prof. Lorenzo Bruzzone
The activities will be presented through slides, videos, and hands-on demonstrations. RSLab sensors, including a thermal camera, lidar sensors, and the hyperspectral scanner, will be presented. The acquisition mechanism and the acquired data will be shown with live acquisitions.
The Sensing Technologies educational Laboratory develops advanced methodologies and technologies for the analysis and automatic recognition of remote sensing signals and images on artificial intelligence and machine learning technologies.
The primary objective is to develop systems and techniques capable of analyzing big data acquired from space for a wide range of applications related to Earth observation for environmental monitoring and land management and planetary exploration.
Particular attention is paid to the entire chain of data analysis starting from their acquisition, pre-processing, automatic analysis, possible fusion, up to the definition of the product for the final user of the results.
The above activities are carried out on various types of remote sensing data, including multispectral, hyperspectral, SAR, Lidar, radar sounder, and ancillary data of various kinds, acquired from various platforms, eg. plane, drone and satellite.
The laboratory is also equipped with a hyperspectral scanner, lidar and thermal chamber that are used to carry out acquisitions both from the ground and in flight using the drone supplied to the laboratory.