A Multidirectional and Multiscale Morphological Index for Automatic Building Extraction from Multispectral GeoEye-1 Imagery
A Multidirectional and Multiscale Morphological Index for Automatic Building Extraction from Multispectral GeoEye-1 Imagery
复制标题
DOI：
10.14358/pers.77.7.721
复制
发表时间：
2011-07-01
影响因子：
1.3
通讯作者：
Zhang, Liangpei
中科院分区：
文献类型：
--
作者：
Huang, Xin;Zhang, Liangpei
提出了一种新的形态建筑物指数（MBI），用于高分辨率遥感图像中建筑物的自动提取。MBI的基本思想是在建筑物的隐式特征（例如，亮度、大小和对比度）和形态运算符的属性（例如，重建、粒度测定和方向性）。通过对MBI特征图像执行阈值来提取建筑物。随后，形状特征，如面积和长宽比，用于细化二进制建筑物地图。为了验证所提出的算法，MBI，最近开发的纹理派生的建成存在指数（PanTex），和广泛使用的基于对象的方法之间进行了比较研究。实验进行了多光谱GeoEye-1图像，覆盖了研究区域的5.5公里的5.3公里，在武汉洪山区，中国中部。在实验中。MBI取得了令人满意的结果，并优于其他算法的准确性和视觉检查。详细分析了MBI的方向、大小和二值化阈值等参数对图像质量的影响。
This study proposes a novel morphological building index (MBI) for automatic building extraction from high-resolution remotely sensed imagery. The basic idea of MBI is to build a relationship between the implicit characteristics of buildings (e.g., brightness, size, and contrast) and the properties of morphological operators (e.g., reconstruction, granulometry, and directionality). Buildings are extracted by performing a threshold on the MBI feature image. Subsequently, the shape features, such as area and length-width ratio, are used to refine the binary building map. In order to validate the proposed algorithm, a comparative study was performed between MBI, a recently developed texture-derived built-up presence index (PanTex), and the widely used object-based approach. Experiments were conducted on a multispectral GeoEye-1 image, covering a study area of 5.5 km by 5.3 km in Hongshan district of Wuhan, central China. In experiments. MBI achieved satisfactory results and outperformed other algorithms in terms of both accuracies and visual inspection. The effects of parameters of MBI were also analyzed in detail, including directions, sizes and the binaryzation threshold.