A comparison of two methods for classifying forestland†
作者:
ROSSF. NELSON,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1981)
卷期:
Volume 2,
issue 1
页码: 49-60
ISSN:0143-1161
年代: 1981
DOI:10.1080/01431168108948340
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Two methods of developing land-cover classifications using Landsat multispectral data were compared. The first method, called P-l, uses a semi-automated approach to develop training statistics which characterize the land-cover types. The second, called multicluster blocks, depends more on analyst interaction to produce the training statistics used by the classifier. The results showed that P-l performed as well as the multicluster-blocks approach on a mountainous study area in southwestern Colorado
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