LIDAR Automatic Feature Detection and Object Classification

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LiDAR (LIght Detection And Ranging) is a relatively new technology for scanning the earth's surface quickly and accurately. The resulting geometry models can be applied to crucial applications in many fields, including urban planning, management, and visualization; security; updating and maintaining cadastral (property line) data; landscape change detection; virtual reality; and operations mission planning. In most relevant applications, the delineation and identification of geospatial features (herein referred to simply as features), or objects such as buildings, vegetation, roadways and waterways, are of primary interest. Since traditional manual extraction methods are costly and time consuming, and large quantities of LiDAR data are being gathered from different sources, there is a growing demand for automatic LiDAR feature extraction [Cary 2009]. However, it must be noted that the scale of LiDAR datasets (potentially billions of points) found in industrial settings introduces formidable performance challenges, beyond the scope of even the most elegant published research techniques.