Geographic Object-based Delineation of Neighborhoods of Accra, Ghana Using QuickBird Satellite Imagery
Geographic Object-based Delineation of Neighborhoods of Accra, Ghana Using QuickBird Satellite Imagery
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DOI：
10.14358/pers.76.8.907
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发表时间：
2010-08-01
影响因子：
1.3
通讯作者：
Weeks, John R.
中科院分区：
文献类型：
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作者：
Stow, Douglas A.;Lippitt, Christopher D.;Weeks, John R.
其目的是测试地理对象为基础的图像分析（GEOBIA）技术描绘的阿克拉，加纳使用快鸟多光谱图像的街区。两种方法来聚合普查查点区（EA）的基础上，图像派生措施的植被对象进行了测试：（a）合并相邻EAS根据植被措施，（B）图像分割。这两种方法都利用了商业GEOBIA软件中现成的功能。将图像生成的街区地图与贫民窟指数值空间聚类生成的参考地图（来自普查数据）进行比较，以提供对潜在地图效用的相对评估。一个大小受限的迭代分割方法聚合是更成功的比标准的图像分割或功能合并技术。分割方法考虑了尺寸和形状特征，从而能够描绘出更真实的邻域边界。每个EA内的植被斑块的百分比产生了更现实的划定潜在的邻居比平均植被斑块大小每个EA。
The objective was to test GEographic Object-based Image Analysis (GEOBIA) techniques for delineating neighborhoods of Accra, Ghana using Quick Bird multispectral imagery. Two approaches to aggregating census enumeration areas (EAs) based on image-derived measures of vegetation objects were tested: (a) merging adjacent EAS according to vegetation measures, and (b) image segmentation. Both approaches exploit readily available functions within commercial GEOBIA software. Image-derived neighborhood maps were compared to a reference map derived by spatial clustering of slum index values (from census data), to provide a relative assessment of potential map utility. A size-constrained iterative segmentation approach to aggregation was more successful than standard image segmentation or feature merge techniques. The segmentation approaches account for size and shape characteristics, enabling more realistic neighborhood boundaries to be delineated. The percentage of vegetation patches within each EA yielded more realistic delineation of potential neighborhoods than mean vegetation patch size per EA.