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：2004
卷号：XXXV Part B3
页码：960-966
出版社：Copernicus Publications
摘要：A new approach for object extraction from high-resolution satellite images is presented in this paper. The new approach integrates image fusion, multi-spectral classification, feature extraction and feature segmentation into the object extraction of high-resolution satellite images. Both spectral information from multispectral (MS) images and spatial information from panchromatic (Pan) images are utilized for the extraction to improve accuracies. This paper mainly concentrates on road extraction from QuickBird MS and Pan images using the proposed approach. Experiments of road extraction with QuichBird MS and Pan images demonstrate that the proposed approach is effective. The completeness and correctness of road network extraction reaches 0.95, significantly higher than those of other existing road extraction methods
