【作者】 孙莉； 张艳宁； 胡伏原； 赵荣椿；

【Author】 SUN Li ZHANG Yan-ning HU Fu-yuan ZHAO Rong-chun (Dept.of Computer Science & Engineering,Northwestern Polytechnical University,Xi’an 710072)

【机构】 西北工业大学计算机科学与工程系；

【摘要】 图像分割在 SAR 图像处理中占有很重要的位置。提出了一种基于 Gaussian-Hermite 矩的 SAR 图像分割方法。针对合成孔径雷达(SAR)图像斑点噪声对现有分割方法带来的影响,利用 Gaussian-Hermite 矩的不同阶矩并结合 SAR 图像特征将目标从含噪背景中分割出来。实验部分同时采用了仿真数据和实测 SAR 数据上,通过与小波能量等5种方法的分割结果进行比较,显示出了此方法的有效性。更多还原

【Abstract】 SAR image segmentation is one of the most important tasks on SAR image processing.But the multiplication nature of the speckle noise in SAR images has been a troublesome problem in SAR images.In the paper,a SAR image segmentation approach based on Gaussian-Hermite moments is proposed.Because Gaussian-Hermite moments can better separate image features and enhance the object based on different modes.Different orders of Gaussian-Hermite moments are made use of as image features to extract objects from background scene.The proposed algorithm is compared with other five algorithms on real SAR images and simulation images.Experimental results show that the proposed method is effective to extract objects from background scene in SAR image.Simultaneously,the speckle noise is restrained.更多还原