精度各参数含义

1、Confusion Matrixsubmerged plantswaterunclassifiedSum2 10 3Confusion Matrixsubmerged plantswaterunclassifiedSum2 10 3827 58 1 53 5 72 8 0 83 3no 9-y 52 9 o误差矩阵实例V皿宇, 理姓理被评价的图像居住区空地植被道路总和参居住空地1013014像植被鹏3961148道路5186276总和2441617268500就=(161 - 1+96H &2) /500 = 69.4胳制图峰度漏分误差用户粕度销分误差居住区181/2

2、62 = 69.08%30.92%181/244 = 74.18%25.82%空地1/14 - 7.14巍92.86始/lb = 6.2593.75%植被96/148 - 64.86%泌.14%96/172=55.8144.19%道路62/76 = 81.58%38.42%62/68 = 91.18%8.82%Error latrix based on TTA lastUser Referenc. submerqed plant, | 叫aterI SumCloseCloseAccuracyProducer0.71839830.9728155User0.92021450.SS7S349Hell

3、den0.80687830.9283846Short0.67627490.8663412KIA Per Class0.63033260.8853933TotalsOverall Accuracy 0.8955153KIA0.7367437C reduce C expand3.4精度估计量总体分类精度(total ccauacy):川户粘度(users accuracy)：从分类结果中任 取 不血杭样禾,其所具布由类型与地面实际类 型相同的条件概率错分误拜 (commission)制图精度( producers accuracy)： 相对于地 简获得的实际资料中的任意 个随机样本，分类 约上同饨

4、点的分类结果与其相致的条件概唯 漏分误差(omission)4) Kappa系数用来评价两幅图像之间的吻合度测足两幅图像之间吻 合度或精度的指标测足两幅图像之间吻 合度或精度的指标邕G =N2-(x1+x+i)7=1i=l 1=1误差矩阵中总列数(总类别数)，第i 行第，列上的像元数量(正确的分类数 目)第i行第，列总像元数量；N总 的用于精度评估的像元数量。图值处理4) Kappa系数图值处理被评价的图像居住区空地植彼道路总神居住地1013014植被483961148也路5186276总知2441617268500=5Q5x (181 +1 + 96 + 62) 一 (242 x ?62+16 x 14 + 171 x 141 + 68 乂 76)5002- (244 x 262 + 16 x 14 +172 x 148 + 68 x 76)= 48.5% (N = 500)3.6分类结果评价