Conservative bias in classification accuracy assessment due to pixel-by-pixel comparison of classified images with reference grids
作者:
D. L. VERBYLA,
T. O. HAMMOND,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1995)
卷期:
Volume 16,
issue 3
页码: 581-587
ISSN:0143-1161
年代: 1995
DOI:10.1080/01431169508954424
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The use of reference grids derived from aerial photography for a pixel-by-pixel comparison with classified images can yield conservative estimales of classification accuracy. Even if the class assignment of each polygon is 100 per cent correct, and there is no change in cover type due to temporal differences between the reference data and the classified image, conservative bias in estimales of classification accuracy are still possible. In this letter, we discuss two major sources of this potential bias: 1. positional errors, and 2. difference between polygon minimum mapping unit (MMU) area and pixel size of the classified image.
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