结合小波收缩和水平集模型,提出一种新的含噪遥感图像分割算法。该算法用小波变换对噪声图像进行分解,采用自适应特征阈值的方法去除图像中的噪声,然后用水平集算法对图像进行分割。仿真实验结果证明,该算法不仅可以得到良好的图像分割结果,而且也有较强的抗噪声能力。 Combining wavelet shrinkage and level set model, a new algorithm for remote sensing image segmentation with noises is proposed. The algorithm uses wavelet transform to decompose the noise image, removes the noise in the image by adopting the adaptive feature threshold, and then uses the level set algorithm to segment the image. Simulation results show that this algorithm can not only get good image segmentation results, but also have strong anti-noise ability.