Paper
22 December 2004 Photon-counting airborne laser swath mapping (PC-ALSM)
Author Affiliations +
Proceedings Volume 5661, Remote Sensing Applications of the Global Positioning System; (2004) https://doi.org/10.1117/12.581836
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States
Abstract
University of Florida (UF) researchers are developing an airborne laser swath mapping (ALSM) unit based on a paradigm referred to as photon counting ALSM, or PC-ALSM. In the PC-ALSM approach relatively low energy (few micro-joule) laser pulses are used to illuminate a surface 'patch' of terrain a few meters in extent. Reflected photons are imaged onto a multi-channel photomultiplier tube, to achieve high resolution (few decimeter) contiguous coverage of the terrain. A multi-channel multi-stop timing unit records both noise and signal events within a range gated window, and the noise events are filtered out of the data during post flight processing. A first generation PC-ALSM sensor, the Coastal Area Tactical-mapping System (CATS), is being developed with funding from the Office of Naval Research (ONR). The CATS sensor will be tested and operated from the UF Cessna 337 aircraft, which is equipped with a commercial ALSM unit. However, the ultimate goal of the UF research is to verify that PC-ALSM offers the possibility of developing a high resolution airborne laser mapping unit small and light enough, and with sufficient energy efficiency, to operate from a UAV.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William E. Carter, Ramesh L. Shrestha, and Kenneth Clint Slatton "Photon-counting airborne laser swath mapping (PC-ALSM)", Proc. SPIE 5661, Remote Sensing Applications of the Global Positioning System, (22 December 2004); https://doi.org/10.1117/12.581836
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Cited by 6 scholarly publications.
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KEYWORDS
LIDAR

Sensors

Computed tomography

Laser applications

Analytical research

Data modeling

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