Terrain Categorization using LIDAR and Multi-Spectral Data
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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LIDAR data taken over the Elkhorn Slough region in central California were analyzed for terrain classification. Data were collected on April 12th, 2005 over a 10 km x 20 km region that is mixed use agriculture and wetlands. LIDAR temporal information elevation values, intensity of returned light and distribution of point returns in both vertical and spatial dimensions were used to distinguish land-cover types. Terrain classification was accomplished using LIDAR data alone, multi-spectral QuickBird data alone and a combination of the two data-types. Results are compared to significant ground truth information.
- Cartography and Aerial Photography
- Optical Detection and Detectors