利用Mumford-Shah模型对卫星云图进行分割和识别。根据卫星云图自身的特征，提出了基于核心灰度的Mumford-Shah模型，并用此模型分割出了单通道卫星云图中的高云、中云和低云。同时提出了一种基于核心灰度的Mumford-Shah模型的向量图像分割方法，对两个通道的卫星云图进行分割，更加准确地识别出中低云系在红外通道和可见光通道中的位置。

In this paper，the Mumford-Shah model is used for the recognition and classification of satellite cloud imagry.Considering the characteristics of satellite cloud imagery，an improved Mumford-Shah model based on the kernel gray of object is presented.Using this model，high cloud and middle cloud and low cloud is classified from the one-channel cloud image.For the multi-channel image，the vector-valued image segmentation method using Mumford-Shah model based on the kernel gray of object is presented.The experimental results show that our method can get the precise position of middle cloud and low cloud in the infrared channel and visible-light channel.