文章基本信息

标题：Detecting Urban Brownfields by Means of High Resolution Satellite Imagery
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作者：E. Banzhaf ; M. Netzband
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 B7
页码：460-465
出版社：Copernicus Publications
摘要：The international urban environmental partnerships focus on brownfields redevelopment, smart growth, sustainable transportation and land use, urban watershed management, green buildings, and solid waste recycling (U.S. Environmental Protection Agency = EPA - http://www.epa.gov/swerosps/bf/accomp2.htm). The emphasis of this project is a kick-off to detect this specific land use, i.e. brownfields, and by expanding upon object-oriented classification methods. On the global level brownfields first need to be characterized within their specific urban regions in different geographical latitudes and climates. Focussing on the local level brownfields sites in their certain urban environment can be described as a specifically defined class consisting of diverse objects that need to be characterized by their form, their position and their spatial context. As they may consist of different objects such as buildings, roads and vegetation an object-oriented classification approach is applied. The brownfields sites investigated upon are located in the City of Baltimore, Maryland, as EPA selected the City of Baltimore as one of 16 federal Brownfields Showcase Communities (http://www.epa.gov/brownfields/showcase.htm).
关键词：Remote Sensing; Human Settlement; Analysis; Detection; Imagery; Resolution; Object; High resolution