计算机工程与应用2019，Vol.55Issue(16)：185-190,6.DOI:10.3778/j.issn.1002-8331.1805-0279
基于改进粗糙集理论的SAR图像目标增强
SAR Image Target Enhancement Based on Improved Rough Set Theory
摘要
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 gravita-tional field strength attributes, so as to achieve the target enhancement of the original image. Compared with other algo-rithms, the improved algorithm proposed in this paper is more suitable for SAR image characteristics than other algo-rithms, and can be used for the targeted enhancement of ship target pixels, which has certain engineering application value.关键词
SAR图像/目标增强/粗糙集/引力场强度Key words
SAR image/ target enhancement/ rough set/ gravitational field strength分类
信息技术与安全科学引用本文复制引用
朱鸣,杨百龙,何岷,陈铮铮,张雄美..基于改进粗糙集理论的SAR图像目标增强[J].计算机工程与应用,2019,55(16):185-190,6.基金项目
国家自然科学基金(No.61640007). （No.61640007）
