Application of Maps Revision Based on Classification of High Resolution Satellite Images
- Received Date: 2004-11-18
- Rev Recd Date: 2004-11-18
- Publish Date: 2005-02-05
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.|