Remote sensing applications - new vistas for measurement and control

The field of remote sensing is an area of science and technology that has undergone rapid development in recent years. This paper focuses primarily on how to exploit the capabilities made available by remote sensing and how to put them to use by combining them with a sys-temic approach to design and analysis in various measurement and control applications. The emphasis is placed on high-resolution satellite and Lidar sensors – the most prevalent remote sensing technologies. Following the presentation of some general issues related to low- and high-level processing of remote sensing data, such as data dimensionality reduction, data fusion, and change detection, the paper provides examples of control-related applications of remote sensing technologies. It is argued that successful exploitation of new generations of remote sensing technologies will require extensive development of new algorithms based on a variety of approaches, such as machine vision, statistical learning, and artificial intelligence.