ID 原文 译文
9484 利用仿真模拟构建四元命中评估指标集,集合专家经验,建立群决策模型,利用区间直觉模糊集和逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)方法实现专家经验汇总与集结,利用模糊熵原理衡量专家评估结论的模糊度,获取专家权重,最终实现空战训练命中评估。 Use simulation to build four yuan hit evaluation index set, collection of expert experience, group decision model is established, by using interval intuitionistic fuzzy sets and collation close to ideal solution (technique for order preference by similarity to ideal solution, TOPSIS) ways to implement expert experience summary and assembled, by using the theory of fuzzy entropy measure expert evaluation conclusion ambiguity, get expert weight, finally realizes the air combat training accuracy assessment.
9485 在Matlab M文件中实现了评估模块的封装,并将处理后的数据输出到Excel表格中。 Implements evaluation module in Matlab M file encapsulation, and will be processed data output to Excel spreadsheet.
9486 结合实际空战训练数据进行验证,此方法可有效解决空战训练命中评估的群决策问题。 Combined with the actual combat training data verification, this method can effectively solve the air combat training of the evaluation of group decision making problems.
9487 传统的基于像素的合成孔径雷达(synthetic aperture radar,SAR)图像地物分类方法难以有效区分起伏变化大的地物。 Traditional pixel-based synthetic aperture radar (synthetic aperture radar, SAR) image feature classification method is difficult to effectively distinguish between rolling terrain.
9488 针对该问题,提出了一种基于区域Bhattacharyya相似度的SAR图像地物分类方法。 ‭Aiming at this problem, proposes a regional Bhattacharyya similarity based SAR image feature classification method.
9489 方法首先利用适当的图像分割技术获取均匀的SAR图像区域。 ‭Method first using appropriate image segmentation technology to obtain uniform SAR image area.
9490 接着定义Bhattacharyya相似度来描述区域之间的统计相似程度,并推导了其对应Gamma分布的解析表达式。 ‭Then define Bhattacharyya similarity to describe statistical similarity between regions, and the analytical expression of the corresponding Gamma distribution was deduced.
9491 最后,以图像区域为分类单元,基于最大区域Bhattacharyya相似度准则实现SAR图像地物分类。 ‭Finally, based on image region classification unit, based on the maximum region Bhattacharyya similarity criterion to SAR image feature classification. ‭
9492 利用实测SAR图像的地物分类结果表明,该方法性能优于经典的基于像素的最大似然分类方法和支持矢量机方法,且优于基于区域的最小距离法。 Measured feature of SAR image classification results show that this method is better than the classical maximum likelihood classification method based on pixel and support vector machine method, and is better than that of the minimum distance method based on region. ‭
9493 以固定翼小型无人机的自主着陆控制为研究背景,提出了一种基于光流的固定翼小型无人机自主着陆控制方法。 With fixed wing of small uav autonomous landing control as the research background, this paper proposes a fixed wing based on optical flow of small uav autonomous landing control method.