| 引用本文: | 徐振海,王雪松,肖顺平,等.基于模糊融合的目标检测算法研究.[J].国防科技大学学报,2000,22(4):65-68.[点击复制] |
| XU Zhenhai,WANG Xuesong,XIAO Shunping,et al.Study on Target Detection Algorithm Based on Fuzzy Fusion[J].Journal of National University of Defense Technology,2000,22(4):65-68[点击复制] |
|
| |
|
|
| 本文已被：浏览 6697次 下载 6103次 |
| 基于模糊融合的目标检测算法研究 |
| 徐振海, 王雪松, 肖顺平, 庄钊文 |
|
(国防科技大学 电子科学与工程学院, 湖南 长沙 410073)
|
| 摘要: |
| 针对经典决策层融合检测过程中本地“硬”判决导致的信息损失问题, 利用模糊子集理论, 提出了一种基于模糊“软” 判决的融合检测方法。理论分析与仿真实验表明, 该方法优于传统的“K 秩”方法, ROC 雷达工作曲线接近理论最优曲线。 |
| 关键词: 信息融合 检测 模糊 隶属度 |
| DOI： |
| 投稿日期：2000-01-15 |
| 基金项目:国家自然科学基金资助项目(69902010) |
|
| Study on Target Detection Algorithm Based on Fuzzy Fusion |
| XU Zhenhai, WANG Xuesong, XIAO Shunping, ZHUANG Zhaowen |
|
(College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
|
| Abstract: |
| A novel fusion scheme is presented based on fuzzy sets, considering the problem of information loss resulting from local“hard” decision during the traditional decision-layer fusion process. The theoretical analysis and simulation results show that this method works better than traditional“K-rank”fusion rule, and the ROC curve approaches the optimum. |
| Keywords: information fusion detection fuzzy membership |
|
|
|
|
|
