You are here: Home
/ Publication Information
Title: The role of misclassification in estimating proportions and an estimator of misclassification probability
Author: Zimmerman, Patrick L.; Liknes, Greg C.
Source: International Journal of Mathematical and Computational Forestry and Natural-Resource Sciences. 2(2): 78-85.
Description: Dot grids are often used to estimate the proportion of land cover belonging to some class in an aerial photograph. Interpreter misclassification is an often-ignored source of error in dot-grid sampling that has the potential to significantly bias proportion estimates. For the case when the true class of items is unknown, we present a maximum-likelihood estimator of misclassification probability based on agreement between two interpreters. Two of the assumptions underlying the estimator are: (i) the probability that an interpreter makes a misclassification is constant, (ii) both interpreters have the same probability of misclassification. Simulation results suggest the estimator has acceptable performance when (ii) does not hold. This estimator can be used to investigate whether bias due to misclassification has exceeded a threshold, or to correct bias due misclassification.
Keywords: dot grid, remote sensing, image interpretation, misclassification
View or Print this Publication (211 KB)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
Zimmerman, Patrick L.; Liknes, Greg C. 2010. The role of misclassification in estimating proportions and an estimator of misclassification probability. International Journal of Mathematical and Computational Forestry and Natural-Resource Sciences. 2(2): 78-85.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility