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：2010
卷号：XXXVIII - Part 7A
页码：275-280
出版社：Copernicus Publications
摘要：In this article we present a method that extracts plantations from satellite imagery by finding and exploiting appropriate feature spaceprojections. Segmentation is done using an automatic two-region segmentation based on the level set method. The behaviour of thisalgorithm is defined by a statistical region model that describes the similarity of regions using distances in arbitrary feature spaces.Subsequently different feature spaces will be evaluated regarding their plantation classification quality in an automatic fashion. Thesegmentation quality of our method is assessed by testing several orthophotos depicting a wide range of landscape types and comparingthem with a manual segmentation. We show that a combination of simple texture based features like the structure tensor and the Hessianmatrix are sufficient to facilitate an effective plantation segmentation scheme.
