Update and review of accuracy assessment techniques for remotely sensed data.
Research performed in the accuracy assessment of remotely sensed data is updated and reviewed. The use of discrete multivariate analysis techniques for the assessment of error matrices, the use of computer simulation for assessing various sampling strategies, and an investigation of spatial autocorrelation techniques are examined.
Natural Resources and the Environment
Remote Sensing Research Report
Congalton, R. G., J. T. Heinen, and R. G. Oderwald. 1983. Update and review of accuracy assessment techniques for remotely sensed data. Remote Sensing Research Report 83-1. Final Report for Nationwide Forestry Applications Program. Coop Agreement 13-1134. 34 pp.
Work of the US Gov. Public Use Permitted.