期刊
PATTERN RECOGNITION LETTERS
卷 23, 期 9, 页码 1053-1061出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0167-8655(02)00052-1
关键词
remote-sensing image classification; spatio-temporal context; data fusion; neural networks
In this paper, an iterative statistical approach is proposed to fuse spectral information with spatial and temporal contextual information for the classification of multitemporal, multisensor remote-sensing images. Experimental results show, in terms of classification accuracy, the improvement that can be reached by exploiting the contextual information. (C) 2002 Elsevier Science B.V. All rights reserved.
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