A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data

Abstract

This paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data. Included in this review are the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques. All analysis is based on the use of an error matrix or contingency table. Example matrices and results of the analysis are presented. Future trends including the need for assessment of other spatial data are also discussed.

Department

Natural Resources and the Environment

Publication Date

4-14-1991

Journal Title

Remote Sensing of Environment

Publisher

Elsevier Inc.

Digital Object Identifier (DOI)

10.1016/0034-4257(91)90048-B

Document Type

Article

Rights

© 1991 Published by Elsevier Inc.

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