Title :
Performance Prediction for Low-SNR Lidar Sensors
Author :
Cossio, Tristan ; Slatton, K. Clint ; Shrestha, Kris ; Carter, William E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Florida Gainesville, Gainesville, FL
Abstract :
Technological advances in the performance of small micro-lasers and photo-detector sensitivity have recently enabled the development of experimental airborne lidar systems with low signal-to-noise ratios (SNR). These systems show the potential to perform highly accurate topographic and bathymetric mapping. There is a need to build up a modeling capability in order to aid in future system and mission design. A numerical sensor model has been developed to predict measurement performance from low SNR lidar systems. Both optical and signal processing components are considered, along with other factors including atmospheric effects and surface conditions.
Keywords :
bathymetry; geophysical signal processing; optical radar; remote sensing by laser beam; airborne lidar systems; atmospheric effects; bathymetric mapping; low signal-to-noise ratios; measurement performance prediction; microlasers; numerical sensor model; optical-signal processing components; photodetector sensitivity; surface conditions; topographic mapping; Atmospheric measurements; Atmospheric modeling; Laser radar; Numerical models; Optical devices; Optical sensors; Optical signal processing; Predictive models; Sensor systems; Signal to noise ratio; Lidar; bathymetry; photonics;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4778932
