【摘要】 文中将面向对象的变化检测方法运用于舟曲泥石流受灾区域DEM的变化检测之中,探讨了利用多源空间数据进行DEM变化检测的方法。该方法采用基于Mean Shift算法的分割方法,对受灾前后的多源空间数据进行联合分割,获取所要研究的对象,然后再针对对象区域的DEM进行变化检测,能够很好地发现灾后泥浆淤积的区域,为灾害的评估提供了有效的自动检测方法。更多还原

【Abstract】 The paper applies the object-oriented change detection method to the change detection of DEM in Zhouqu,the disaster area of the Debris flow,and studies the change detection of DEM using multi-source spatial data.With the segmentation method based on the Mean Shift Algorithm,the paper makes joint segmentation to the multi-source spatial data before and after the disaster in order to obtain the object to be studied.In this way the paper detect the change of DEM of the object,which can effectively detect the mud deposition area after the debris flow disaster and provide an effective automatic change detection method for the disaster assessment.更多还原