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- W2394657907 abstract "First posted May 23, 2016 For additional information, contact: Director, St. Petersburg Coastal and Marine Science Center U.S. Geological Survey 600 4th Street South St. Petersburg, FL 33701 (727) 502–8000 http://coastal.er.usgs.gov/ The Airborne Lidar Processing System (ALPS) analyzes Experimental Advanced Airborne Research Lidar (EAARL) data—digitized laser-return waveforms, position, and attitude data—to derive point clouds of target surfaces. A full-waveform airborne lidar system, the EAARL seamlessly and simultaneously collects mixed environment data, including submerged, sub-aerial bare earth, and vegetation-covered topographies.ALPS uses three waveform target-detection algorithms to determine target positions within a given waveform: centroid analysis, leading edge detection, and bottom detection using water-column backscatter modeling. The centroid analysis algorithm detects opaque hard surfaces. The leading edge algorithm detects topography beneath vegetation and shallow, submerged topography. The bottom detection algorithm uses water-column backscatter modeling for deeper submerged topography in turbid water.The report describes slant range calculations and explains how ALPS uses laser range and orientation measurements to project measurement points into the Universal Transverse Mercator coordinate system. Parameters used for coordinate transformations in ALPS are described, as are Interactive Data Language-based methods for gridding EAARL point cloud data to derive digital elevation models. Noise reduction in point clouds through use of a random consensus filter is explained, and detailed pseudocode, mathematical equations, and Yorick source code accompany the report." @default.
- W2394657907 created "2016-06-24" @default.
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- W2394657907 date "2016-01-01" @default.
- W2394657907 modified "2023-09-25" @default.
- W2394657907 title "Algorithms used in the Airborne Lidar Processing System (ALPS)" @default.
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- W2394657907 doi "https://doi.org/10.3133/ofr20161046" @default.
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