A NEW THINKING OF LULC CLASSIFICATION ACCURACY ASSESSMENT
A majority of studies involving remote sensing LULC classification conducted classification accuracy assessment without consideration of the training data uncertainty. In this study we present new concepts of LULC classification accuracies, namely the training-sample-based global accuracy and the cl...
Main Authors: | K. S. Cheng, J. Y. Ling, T. W. Lin, Y. T. Liu, Y. C. Shen, Y. Kono |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-06-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1207/2019/isprs-archives-XLII-2-W13-1207-2019.pdf |
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