A combined supervised and unsupervised approach to classification of multitemporal remote sensing images

被引:0
|
作者
Bruzzone, L [1 ]
Prieto, DF [1 ]
机构
[1] Univ Trent, DICA, I-38050 Trent, Italy
来源
IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS | 2000年
关键词
D O I
暂无
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In this paper, a combined supervised and unsupervised approach to classification of multitemporal remote sensing images is presented. Such an approach performs the automatic classification of a remote sensing image for which training data are not available by exploiting the information derived from an image acquired in the same area at a previous time. Experiments, carried out on a multitemporal data set, point out the effectiveness of the proposed method.
引用
收藏
页码:162 / 164
页数:3
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