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

页码：162 / 164

页数：3

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