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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cossio, T. Slatton, K.C. Shrestha, K. Carter, W.E. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Florida Gainesville, Gainesville, FL (Cossio, T.; Slatton, K.C.) || Dept. of Civil & Coastal Eng., Univ. of Florida Gainesville, Gainesville, FL (Shrestha, K.; Carter, W.E.) |
| 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. |
| File Size | 264951 |
| File Format | |
| ISBN | 9781424428076 |
| DOI | 10.1109/IGARSS.2008.4778932 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Laser radar Atmospheric modeling Optical signal processing Signal to noise ratio Sensor systems Predictive models Numerical models Atmospheric measurements Optical devices Optical sensors photonics Lidar bathymetry |
| Content Type | Text |
| Resource Type | Article |
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