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.
A combined supervised and unsupervised approach to classification of multitemporal remote sensing images
Bruzzone, Lorenzo;
2000-01-01
Abstract
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.File in questo prodotto:
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