Abstract
Abstract A wide variety of optronic sensors, on board a satellite or airborne platform, are used for remote sensing, surveillance applications, and telecommunications. Cloud presence in the field of view is one of the key factors limiting the performances of these sensors. Consequently, cloud presence must be taken into account in order to evaluate their performances. To that end, a Monte Carlo method is used. Geometrical and optical cloud properties necessary to build the model are obtained from Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) measurements that enable one to deal with the optically thinnest clouds. Different viewing geometries are presented, corresponding to surveillance missions by an airborne sensor with close-to-the-horizon viewing and to an optical link between an aircraft and a satellite. Results obtained are compared to a previous study and improvements reached with this new method are discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
