Evaluation of Geostatistics and Wavelets for Identifying Relations Between Imagery and Different Spatial Resolutions and for Data Compression.

Abstract

This is the final report of the project to apply geostatistics and wavelet analysis to part of the area chosen at Fort A. P. Hill in northeastern Virginia. This report embraces several facets of the collaborative work starting with a summary of time spent at the U.S. Topographic Engineering Center and of time spent by TEC personnel at the University of Reading. An analysis of cokriging of Korean temperature data with elevation has been done to assess whether the accuracy of estimates could he improved. The improvement was small compared with the temperature estimates for the USA done previously. A comparison between geostatistics and wavelet analysis has been undertaken. It seems that wavelets provide a more accurate method for data reconstruction, but geostatistics is more appropriate for exploring different resolutions of spatial variation that have been identified by the variogram. A detailed analysis of ground cover at A. P. Hill has been done for three surveys (one was done in a previous report). The results show a relation between the scales of variation in certain ground cover attributes and the SPOT data. Cross variograms suggest that there are spatial relations among variables and the image data. The analysis of elevation data shows that the patterns in its variation correspond closely with those for the NIR waveband. Visually the relation is very strong, but statistically it is weaker.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA372443

Entities

People

  • Margaret A. Oliver

Organizations

  • University of Reading

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Computer Programs
  • Contracts
  • Data Analysis
  • Data Compression
  • Data Sets
  • Engineering
  • Filters
  • Filtration
  • Forests
  • Grids
  • Remote Sensing
  • Statistical Distributions
  • Statistics
  • Surveys
  • United States
  • Wavelet Transforms

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Military History of the United States in the 20th Century.