Accuracy and inaccuracy assessments in land-cover classification

Ryuei Nishii; Shojiro Tanaka

doi:10.1109/36.739098

Accuracy and inaccuracy assessments in land-cover classification

Ryuei Nishii, Shojiro Tanaka

Research output: Contribution to journal › Article › peer-review

50 Citations (Scopus)

Abstract

Several measures assessing accuracy of land-cover classification are available, e.g., overall and class-averaged accuracies. Also kappa statistic is widely used for this purpose. In this article, we will discuss properties of these criteria and point out that the kappa statistic has an unfavorable feature. We will propose an alternative coefficient based on Kullback-Leibler information. A test statistic for significance difference between coefficients is also established. Further, the Bayes risk, which takes types of misclassifications into account, is discussed. Our assessment measures are examined through actual error matrices by Ma and Redmond [3].

Original language	English
Pages (from-to)	491-498
Number of pages	8
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	37
Issue number	1 II
DOIs	https://doi.org/10.1109/36.739098
Publication status	Published - 1999
Externally published	Yes

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Earth and Planetary Sciences(all)

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abstract = "Several measures assessing accuracy of land-cover classification are available, e.g., overall and class-averaged accuracies. Also kappa statistic is widely used for this purpose. In this article, we will discuss properties of these criteria and point out that the kappa statistic has an unfavorable feature. We will propose an alternative coefficient based on Kullback-Leibler information. A test statistic for significance difference between coefficients is also established. Further, the Bayes risk, which takes types of misclassifications into account, is discussed. Our assessment measures are examined through actual error matrices by Ma and Redmond [3].",

author = "Ryuei Nishii and Shojiro Tanaka",

note = "Funding Information: Manuscript received October 8, 1997; revised February 13, 1998. This research was supported in part by Grant-in-Aid for Scientific Research (C), 09640271, 1997–1999 from the Japanese Ministry of Education, Science, Sports and Culture.",

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N2 - Several measures assessing accuracy of land-cover classification are available, e.g., overall and class-averaged accuracies. Also kappa statistic is widely used for this purpose. In this article, we will discuss properties of these criteria and point out that the kappa statistic has an unfavorable feature. We will propose an alternative coefficient based on Kullback-Leibler information. A test statistic for significance difference between coefficients is also established. Further, the Bayes risk, which takes types of misclassifications into account, is discussed. Our assessment measures are examined through actual error matrices by Ma and Redmond [3].

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Accuracy and inaccuracy assessments in land-cover classification

Abstract

All Science Journal Classification (ASJC) codes

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