Supervised versus unsupervised methods for classification of coasts and river corridors from airborne remote sensing
作者:
A. G THOMSON,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1998)
卷期:
Volume 19,
issue 17
页码: 3423-3431
ISSN:0143-1161
年代: 1998
DOI:10.1080/014311698214091
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Maximum likelihood classification (MLC) is compared with unsupervised classification (USC) for operational cover mapping from airborne imagery. Data from the Compact Airborne Spectrographic Imager (CASI) were clustered into a large number of unsupervised subclasses then amalgamated into target classes. For extensive operational classification of coastal imagery, USC proved an acceptable alternative to MLC due to the wide spectral variation between surface classes. However, for river corridors containing a variety of vegetated surfaces with similar reflectances, USC did not produce consistent results.
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