Abstract: Image enhancement is of great significance in improving the precision of ship image detection in SAR images. For the traditional algorithms cannot achieve a good target enhancement for SAR images, this paper proposes a target enhancement algorithm based on improved rough set theory and gravitational field strength. By referring to theoretical knowledge of gravitational field, the gradient attributes of the rough set of condition attributes are improved to the gravitational field strength attributes, so as to achieve the target enhancement of the original image. Compared with other algorithms, the improved algorithm proposed in this paper is more suitable for SAR image characteristics than other algorithms, and can be used for the targeted enhancement of ship target pixels, which has certain engineering application value.

Key words: SAR image, target enhancement, rough set, gravitational field strength

摘要： 图像增强在提高SAR图像舰船目标检测精度方面具有十分重要的意义。由于传统算法不能很好地对SAR图像进行目标增强，提出了基于改进粗糙集理论和引力场强度的目标增强算法。通过借鉴引力场相关理论知识，将粗糙集条件属性集中的梯度属性改进为引力场强度属性，从而实现对原图像的目标增强。与其他算法进行了实验比较，结果表明提出的改进算法相比于其他算法更适用于SAR图像特性，能更好地对舰船目标像素进行针对性增强，具备一定的工程应用价值。

关键词: SAR图像, 目标增强, 粗糙集, 引力场强度