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...

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Bibliographic Details
Main Authors: K. S. Cheng, J. Y. Ling, T. W. Lin, Y. T. Liu, Y. C. Shen, Y. Kono
Format: Article
Language:English
Published: Copernicus Publications 2019-06-01
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