基于线特征的多时相遥感图像变化检测

Multitemporal Remote Sensing Images Change Detection Based on Linear Feature

多时相遥感图像中利用线特征可以感知道路等线形地物的变化。论文提出一种新的基于边缘特征描述的线特征变化检测算法,首先根据边缘的梯度信息得到变化边缘,并对变化边缘进行编组,形成变化边缘的直线支撑区域,然后通过最小二乘拟合方法从直线支撑区域中提取出变化直线。提出的线特征变化检测算法把边缘的相位和幅度信息作为变化检测的判定依据,从而避免了线的匹配与比较工作,降低了变化检测的算法复杂度,具有很强的实用性。将提出的方法用于多时相遥感图像变化检测,实验结果显示该方法的有效性。

Change information of linear objects can be detected based on linear feature in multi-temporal remote sensing images. A new linear feature change detection approach is proposed. In this paper, the changed edge points from multi-temporal remote sensing images are grouped into line support regions based on the difference of gradient information. Then, the regions are fitted based on least square and the changed lines are generated. This approach of linear features change detection uses the gradient information of multi-temporal images as the change detection element instead of match the line information, so it decrease the complexity of the change detection. The experimental results in multi-temporal remote sensing show the effective of the proposed approach.