期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 2
页码：49-52
出版社：Copernicus Publications
摘要：LIght Detection and Ranging (LIDAR) remote sensing technology has been evolving for a number of years. Resultant Digital Elevation Models (DEMs) require coordinated processing of the laser range data, along with platform positioning information. Typically, positioning information includes the Global Positioning System (GPS) signals along the flight path, and the Inertial Measurement Unit (IMU) values at frequent regular intervals. Many processing techniques have been developed, but are often problematic when used to derive a true bare earth surface from the LIDAR geo-referenced 3-D mass points. Techniques that use smoothing algorithms do not accurately reflect the true terrain surface and yield an interpolated surface rather than the true bare earth surface. This is especially true in areas that contain heavy vegetation and/or man-made features in high-density urban areas. Early processing capacity studies demonstrated the need to develop improved automated processing techniques that preserve the original random point data, to create a bare earth surface. The paper will describe the results of a series of LIDAR feature processing filters that were developed under the auspices of the U.S. Army, Small Business Innovation Research (SBIR) program. The LIDAR processing capability created under the SBIR effort has produced an efficient set of bare earth DEMs for use in support of the Federal Emergency Management Agency (FEMA) map modernization plans. Selected areas in broad river bottomland and mountainous areas subjected to flooding have been used as target study areas for flood mapping revision. A description, with illustrative examples of products from the projects, initial accuracy results, cost considerations, and time response-related results with future implications, are presented
关键词：LIDAR; Digital Elevation Model; Flood Plain Modeling
