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Original Articles

Evaluating the classification accuracy of fuzzy thematic maps with a simple parametric measure

Pages 2169-2176 | Received 12 Sep 2002, Accepted 13 Jun 2003, Published online: 07 Jun 2010

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Read on this site (4)

M.S. Ganesh Prasad & Manoj K. Arora. (2014) A simple measure of confidence for fuzzy land-cover classification from remote-sensing data. International Journal of Remote Sensing 35:24, pages 8122-8137.
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D. Lu & Q. Weng. (2007) A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing 28:5, pages 823-870.
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C. Ricotta. (2005) On possible measures for evaluating the degree of uncertainty of fuzzy thematic maps. International Journal of Remote Sensing 26:24, pages 5573-5583.
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Articles from other publishers (6)

Barbara Cardone & Ferdinando Di Martino. (2022) A Fuzzy Entropy-Based Thematic Classification Method Aimed at Improving the Reliability of Thematic Maps in GIS Environments. Electronics 11:21, pages 3509.
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Surekha Borra, Rohit Thanki & Nilanjan DeySurekha Borra, Rohit Thanki & Nilanjan Dey. 2019. Satellite Image Analysis: Clustering and Classification. Satellite Image Analysis: Clustering and Classification 1 12 .
Reza Khatami, Giorgos Mountrakis & Stephen V. Stehman. (2017) Predicting individual pixel error in remote sensing soft classification. Remote Sensing of Environment 199, pages 401-414.
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Luo Lingjun & Hu Yan. (2009) Explorations on Object-Oriented Classification for Ground Targets from High-Resolution Image. Explorations on Object-Oriented Classification for Ground Targets from High-Resolution Image.
S. Magnussen. (2009) A Bayesian approach to classification accuracy inference. Forestry 82:2, pages 211-226.
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Stephen V. Stehman, Manoj K. Arora, Teerasit Kasetkasem & Pramod K. Varshney. (2007) Estimation of Fuzzy Error Matrix Accuracy Measures Under Stratified Random Sampling. Photogrammetric Engineering & Remote Sensing 73:2, pages 165-173.
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