Application of Maps Revision Based on Classification of High Resolution Satellite Images
Funds:
国家自然科学基金资助项目(60175022)
- Received Date: 2004-11-18
- Rev Recd Date: 2004-11-18
- Publish Date: 2005-02-05
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Key words:
- image fusion /
- image classification /
- map revision
Abstract: On the basis of remote sensing image classification, this paper introduces a method for updating urban maps through high resolution remote sensing image. The RGB-HIS transformation technique is considered to merge spectral and spatial information, an appropriate filter for the edge extraction has been used. An MLP classifier is trained to produce a labeled image, focusing on urban buildings and roads, with great accuracy in test even if a limited training set is used. The result reveals a good feasibility of the classified image for monitoring the presence of changes in urban areas.
| Citation: | WAN Youchuan, SONG Yang. Application of Maps Revision Based on Classification of High Resolution Satellite Images[J]. Geomatics and Information Science of Wuhan University, 2005, 30(2): 105-109.
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