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Table 9 Summary of overall classification accuracies for test data, computed with exclusion of unclassified samples

From: Classification of hyperspectral imagery with neural networks: comparison to conventional tools

  194-band 30-band 13-band
  % #uc % #uc % #uc
ANN 91.89 150 82.13 375 81.24 259
MED 82.04 0 72.85 0 73.29 0
SAM 81.92 145 69.34 186 69.30 156
MLH    49.72 0 63.23 0
MHD    72.53 0 59.34 0
  1. Numbers under #uc indicate the number of unclassified test samples (out of 4,332 test samples) for each case.