基于单张航空照片的建筑物检测新方法

Zhong Sheng-hua, Huang Jian-jun, Xie Wei-xin
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引用次数: 16

摘要

提出了一种基于多重建筑物特征的航拍图像建筑物检测方法。首先,采用基于纹理特征的粗分类;其次,采用线邻接和频谱特征检测选择可能的建筑区域;第三,应用模糊逻辑推理解决了建筑物检测中的不确定性和不精确性问题。该方法不仅具有有效的建筑物检测能力,而且易于理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new method of building detection from a single aerial photograph
A novel approach based on multifold building features for the task of detecting buildings in aerial photograph is presented. Firstly, a coarse classification based on the texture features was used. Secondly, line adjacency and spectrum features detection are applied to select possible building regions. Thirdly, the fuzzy logic inference is applied to solve the problem of uncertainty and imprecision in building detection. This approach not only has the capability of detecting buildings effectively but also is easily understandable.
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