Kriging, Optimal Sampling and Filtering by Kriging Analysis.

Abstract

This is the third report on the second phase of the project to apply geostatistics to remote imagery. The main focus of this period of work has been to apply the geostatistical technique of kriging to the image information for Fort Benning in different ways. The first section describes how the kriging equations can be used to optimize sampling effort. The results of this will relate to the last phase of work for this contract on data compression. They show how the estimation variance increases as the grid spacing increases or the number of data retained decreases. Ordinary kriging was used to map the data for Channels 2, 3 and NDVI to produce contour maps. The aim eventually is to assess how well the categories in these maps reflect the different classes of ground cover. The image data were finally filtered by kriging the long and the short range components in the vegetation. The maps of the short range component show the local rate of change in the pattern of ground cover while those of the long range component show the extent of the major patches of different kinds of ground cover.

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Document Details

Document Type
Technical Report
Publication Date
Aug 20, 1996
Accession Number
ADA325081

Entities

People

  • Margaret A. Oliver
  • Richard Webster

Organizations

  • University of Reading

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Boundaries
  • Compression
  • Contracts
  • Data Compression
  • Data Reduction
  • Ecology
  • Environmental Management
  • Equations
  • Estimators
  • Exponential Functions
  • Filtration
  • Intervals
  • Optimal Estimators
  • Random Variables
  • Reflectance
  • Sampling
  • Vegetation

Readers

  • Geodesy
  • Image Processing and Computer Vision.
  • Theoretical Analysis.

Technology Areas

  • Space