基于MeanShift算法的航空影像联合分割

Joint segmentation using MeanShift algorithm for high resolution aerial images

为了实现在包含部分变化信息的相同区域不同时相的高分辨率航空影像上获得准确一致的分割结果,提出了两时相高分辨率航空影像联合分割方法。首先,对两时相影像进行高斯平滑处理,减小地物的内部差异以避免过分割;然后将两时相影像进行波段组合,采用主成分分析法剔除冗余数据,取其第一主分量作为灰度分量;最后对原始影像进行纹理分析,获得两时相影像的纹理信息作为纹理分量并与灰度分量组合在一起进行MeanShift分割。实验对比结果表明,该方法能够有效利用数据,节省处理时间,获得了较好的分割结果。

In order to achieve exact and consistent segmentation result using two-phase high resolution aerial images of the same area which contain some changed information,a joint segmentation method is proposed.First,the two-phase images are manipulated using Guassian smooth filter to suppress the object＇s internal diversity and avoid over segmentation.Then principal component analysis is carried out on the combined image contained all bands of two-phase images to eliminate the redundant information.And the first principal component will be as gray component.Finally,texture is extracted from two phase origin images as texture component,and meanshift algorithm will be implemented on the image combined gray component with two phase texture components.Experimental results indicate that the proposed method can use the image information effectively and save much processing time.It can obtain better segmentation result.