空间关系辅助的面向对象建筑物提取

根据高分辨率影像的特点提出一种采用面向对象的建筑物提取方法. 该方法以影像对象为处理单元，利用其丰富的光谱、形状以及隐含在影像中的深层空间语义关系等信息进行分类，然后结合空间关系特征对分类结果进行优化，并使用均值滤波对类别边缘进行修正. 实验表明，基于面向对象的方法能比较完整地提取出建筑物对象，且空间关系辅助能进一步提高建筑物提取的精度.

Spatial Relation-Aided Method for Object-Oriented Extraction of Buildings from High Resolution Image

Based on the characteristics of high spatial resolution images, an object-oriented approach to the building extraction is proposed. The method takes the object as a processing unit to perform classification using the rich information such as the spectrum, the object shape, and the implicit space semantic relations embedded in the images. The classification result is optimized based on the characteristics of the spatial relationship. Edges between different categories are modified using mean filtering. Experiments show that the object-oriented method can provide relatively complete extraction of the building, and improve precision of the extraction.