基于成像机理和人类认知的异源图像匹配新方法研究

项目名称： 基于成像机理和人类认知的异源图像匹配新方法研究

项目编号： No.61473148

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 其他

项目作者： 徐贵力

作者单位： 南京航空航天大学

项目金额： 85万元

中文摘要： 国家对面向全天候景象导航制导的红外、可见光和雷达图像间高可靠匹配方法有着迫切需求。本申请突破常规借鉴可见光图像匹配思想研究异源图像匹配的局限性，首次从成像原理和人类对其认知机理根本点入手，探索研究基于不同材质对象间粗大边缘的异源图像匹配新理论与新方法。根据粗大边缘形成机理，提出一种基于模糊C均值聚类鲁棒分割对象再提取其粗大边缘的新方法，同时借用数理分析中的数据约减方法大幅降低聚类分割特征空间数据量以提高实时性。另提出将数据压缩领域中具有去噪特点的道格拉斯-普克抽稀算法引入到边缘概貌描述中，以从根本上解决边缘局部突变和毛刺等噪声对匹配稳健性的影响。针对视角形变、几何变换和残缺对匹配的影响，提出基于局部距离相似稳定的抗形变和旋转的特征表征新方法，并采用非均匀采样法融合局部与全局信息以达到抗残缺和初始点无关性，又提出基于九宫格约束的DTW粗大边缘最优化匹配方法，以期得到一种可行的高可靠匹配方法。

中文关键词： 自主导航；视觉导航；信息融合；制导与控制

英文摘要： There is an urgent requirement for high reliable multi-sensor images matching algorithm which is used for all-weather scene navigation and guidance. Starting from the imaging principle and the human's cognition mechanism for multi-sensor image, this project researched a novel multi-sensor images matching algorithm based on salient edges formed between objects of different material. According to the forming mechanism of salient edges, a novel salient edges detection method was proposed based on possibility fuzzy C-means clustering and segmentation. According to the idea of data reduction and the principle that kernel-space is linear separable, its rapid calculation was researched. On this basis, in order to fundamentally solve impact on the matching caused by noises such as local mutation and edge burr, a salient edge description method was put forward on the basis of data compression-Douglas-Peucker algorithm. In view of edge deformation caused by different angle of view and affine transformation, this project described the feature based on local scale, this describing method has invariance to deformation, rotation and scale. Then non-uniform sampling method was used to fuse local information and global information, which is not affected by initial point. In order to further improve the matching reliability, a contour matching algorithm was raised based on improved DTW by scratchable latex path constraint conditions. This project will provide a general practical theory and core method for high reliable multi-sensor images matching.

英文关键词： Autonomous navigation;Vision-based navigation;Information fusion;Guidance and control