Industrial and Applied Math

Date: September 26, 2019

Time: 5:15PM - 6:15PM

Location: Bloc 220

Speaker: Weston Baines, Texas A&M

Title: Filtering Shot Noise in Lidar Data

Abstract: Light Detection and Ranging (Lidar) is a remote sensing method used to produce 3D terrain maps. Lidar scans are expensive and time consuming, sometimes requiring several passes of a scene to obtain acceptable data fidelity. For a low number of scene passes lidar data is primarily corrupted by shot noise. It is desirable to filter the shot noise to increase data efficiency. In this talk I will discuss the basic operation of lidar systems and the work I did at the Geospatial Research Laboratory this past summer in removing shot noise from Lidar data.