文章基本信息

标题：Urban Change Extraction from High Resolution Satellite Image
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作者：Matthias S. Moeller ; Thomas Blaschke
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 Part 2
页码：151-156
出版社：Copernicus Publications
摘要：Very high resolution space borne imagery is essential for a large scale and very detailed urban monitoring and the Quickbird sensor is one of those. It offers images with a spatial resolution of 0.61 m (panchromatic) and 2.44 m (four multispectral bands). Not only a mapping and cadastral surveying of urban objects can be done based on that kind of imagery. A special task is the detection of changed urban objects such as buildings and altered surface materials. This paper compares three different indices for their usability of detecting changes and finally presents a mixture of indices working best for the differentiation of man made urban objects
关键词：Change Detection; Large Scale Urban Monitoring; Urban Growth; PCA; NDVI; IHS; Quickbird