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A multiple-point spatially weighted k-NN classifier for remote sensing

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Academic year: 2021

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Table 1. Confusion matrix using different classification methods in Wolong area (OA =  overall accuracy, PA = producer’s accuracy, UA = user’s accuracy, class name:  1-bamboo, 2-coniferous, 3-broadleaved, 4-mixed woodland, 5-bare land, 6-shadow)
Table 2. Confusion matrix using different classification methods in Beijing area (OA =  overall accuracy, PA = producer’s accuracy, UA = user’s accuracy, class name:  1-buildings, 2-vegetation, 3-road/bare land, 4- shadow)
Table 4. ANOVA for the classification methods in Beijing area using F-test at the 70%
Table 5. Third-order cumulant statistic of the classification results along different  directions in Wolong area
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