Assessing Landsat Classification Accuracy Using Discrete Multivariate Analysis Statistical Techniques
Abstract
CT: Discrete multivariate analysis techniques have been used to evaluate the accuracy of land-cover classifications from Landsat digital image y. Error matrices or contingency tables were taken from the literature and then analyzed using three techniques. The first technique permitted direct comparison of corresponding cell values in different matrices by "nomnalizing" each matrix through a process called "iterative proportional fitting." The second technique provided a method of testing for signijicant differences between error matrices which vary by only a single variable. The third technique allowed for multivariable comparisons between matrices to be made and is the most powerful of the techniques. It was concluded that these techniques could help researchers better evaluate variables or factors affecting class$cation accuracy.
Department
Natural Resources and the Environment
Publication Date
12-1-1983
Journal Title
PHOTOCRAMMETRIC ENGNEERING AND REMOTE SENSI
Publisher
American Society of Photogrammetry
Document Type
Article
Recommended Citation
Congalton, R. G., R. G. Oderwald, and R. A. Mead. 1983. Assessing Landsat classification accuracy using discrete multivariate statistical techniques. Photogrammetric Engineering and Remote Sensing. Vol. 49, No. 12, p. 1671-1678.
Rights
1983 American Society of Photogrammetry