Terrain Categorization using LIDAR and Multi-Spectral Data

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA574883

Entities

People

  • Angela M. Puetz
  • Michael A. Helt
  • R. C. Olsen

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Agriculture
  • Airborne
  • Classification
  • Corporations
  • Data Sets
  • Elevation
  • Forests
  • Image Classification
  • Image Processing
  • Information Operations
  • Intensity
  • Laser Pulses
  • Materials
  • Standards
  • Vegetation

Readers

  • Atmospheric Remote Sensing.
  • Computer Vision.