A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Congalton, R. G. 37(1):35–46.
A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data [link]Paper  doi  abstract   bibtex   
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.
@article{congaltonReviewAssessingAccuracy1991,
  title = {A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data},
  author = {Congalton, Russell G.},
  date = {1991-07},
  journaltitle = {Remote Sensing of Environment},
  volume = {37},
  pages = {35--46},
  issn = {0034-4257},
  doi = {10.1016/0034-4257(91)90048-b},
  url = {https://doi.org/10.1016/0034-4257(91)90048-b},
  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.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-4025583,accuracy,classification,remote-sensing,review,validation},
  number = {1}
}

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