基于矢量数据辅助分割的遥感变化检测方法研究

Remote Sensing Change Detection Based on Vector Data Subsidiary Dividing

针对变化检测中获取同质像斑较难的问题,提出应用矢量数据辅助分割获取同质像斑。本文提出了基于历史矢量与双时相遥感影像的变化检测方法,实验结果表明,该方法能检测出80%变化的像斑,并能同时获取变化像斑的类别,证明了该方法的有效性。

Against the problem that homogeneous image patches are difficult to acquire,this paper proposed a new method using vector data subsidiary dividing to acquire homogeneous image patch,and further proposed a change detection method based on the historical vector and dual phase remote sensing image. Experimental results show the method can detect the change of the image of 80%,and can simultaneously obtain the change of the image pattern,which proves the validity of the method.