拓扑插值与光谱特征结合的复杂城区边界提取

Complex urban boundary extraction based on topological interpolation and spectral feature

复杂城区边界通常存在建筑物大小差异较大、周边林区高低起伏、散点建筑成片出现的情况,对城区边界提取算法造成严重干扰。针对这一问题,本文提出一种基于拓扑插值和光谱特征的高分辨率遥感影像复杂城区边界提取方法。一方面,通过对大型建筑特征点进行拓扑插值,避免由于大型建筑特征点稀疏造成的城区边界缺失;另一方面,利用植被光谱特征来滤除城区周边高低起伏的林区和散点建筑带来的冗余特征点,从而有效抑制城区误提取。通过试验和对比分析表明,本文方法在提取复杂城区边界方面,具有较好的稳健性和较高的精度。

Complex urban boundary usually has buildings with greatly different size,rugged forest area and scattered small buildings,which makes many urban extraction algorithms ineffective.In order to solve this problem,a method based on topological interpolation theory and spectral featureis proposed,and it can be applied to complex urban boundary extraction from high resolution imagery.On the one hand,feature corners of big buildings are inserted to avoid the urban boundary lose caused by the sparse feature points.On the other hand,spectral feature is made full use of to remove the redundancy feature points brought by rugged forest area and scattered small buildings,which can reduce the wrong boundary extraction.The experiments and compared analysis show that the new method has a good robustness and high accuracy.