TY - JOUR
T1 - Estimation of fuzzy error matrix accuracy measures under stratified random sampling
AU - Stehman, Stephen V.
AU - Arora, Manoj K.
AU - Kasetkasem, Teerasit
AU - Varshney, Pramod K.
PY - 2007/2
Y1 - 2007/2
N2 - A fuzzy error matrix may be used to summarize accuracy assessment information when both the map and reference data are labelled using a soft classification. Accuracy measures analogous to the familiar overall, user's, and producer's accuracies of a hard classification can be derived from a fuzzy error matrix. The formulas for estimating the fuzzy error matrix and accompanying accuracy measures depend on the sampling design used to collect the reference data. We derive these estimation formulas for stratified random sampling, a design commonly implemented in practice. A simulation study is conducted to confirm the validity of the stratified sampling estimators.
AB - A fuzzy error matrix may be used to summarize accuracy assessment information when both the map and reference data are labelled using a soft classification. Accuracy measures analogous to the familiar overall, user's, and producer's accuracies of a hard classification can be derived from a fuzzy error matrix. The formulas for estimating the fuzzy error matrix and accompanying accuracy measures depend on the sampling design used to collect the reference data. We derive these estimation formulas for stratified random sampling, a design commonly implemented in practice. A simulation study is conducted to confirm the validity of the stratified sampling estimators.
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U2 - 10.14358/PERS.73.2.165
DO - 10.14358/PERS.73.2.165
M3 - Article
AN - SCOPUS:33846840792
SN - 0099-1112
VL - 73
SP - 165
EP - 173
JO - Photogrammetric Engineering and Remote Sensing
JF - Photogrammetric Engineering and Remote Sensing
IS - 2
ER -