文章基本信息

标题：A multi-resolution hierarchy classification study compared with conservative methods
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作者：G. B. Zhu ; X. L. Liu ; Z. G. Jia 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2006
卷号：XXXVI-2/W40
页码：79-84
出版社：Copernicus Publications
摘要：Based on the principle of remote sensing image classification, the paper roundly discusses most popular conservative methods of supervised classification and unsupervised classification of remote sensing image, and simply appraises their advantages, disadvantages, and suitable occasions. The newest methods of computerized remote sensing image classification are discussed with the attempt to bring out the trend of remote sensing image classification. In the end, this paper proposes a new classification method based on the multi-resolution hierarchy in order to have new breakthrough for the research of the classification method of remote sensing image
关键词：Remote Sensing; Image Classification; Multi-Resolution Hierarchy