The paper draws comparison and analysis among present similarity measure methods in the case of similari-ty measures between Vague values, provides a new similarity measure method, of which discusses on the normalchar...The paper draws comparison and analysis among present similarity measure methods in the case of similari-ty measures between Vague values, provides a new similarity measure method, of which discusses on the normalcharacteristics, gives some relative character theorems. At the same time, it analyzes the application of fuzzy similari-ty measures in vague similarity measures and gives its normal forms such as similarity measures between Vague sets,between elements and their weighted similarity measures. Finally, vague entropy rule respectively aiming at twokinds of cases is approached and its corresponding vague entropy expressions is provided. The content of this paper isof practical significance in such fields as fuzzy decision-making, vague clustering, pattern recognition, data miningetc.展开更多
文摘属性散射中心是合成孔径雷达(Synthetic Aperture Radar,SAR)图像的一个重要特征。该文提出了一种属性散射中心匹配方法并将其运用于SAR目标识别中。该方法首先基于属性散射中心模型提取待识别SAR图像和模板SAR图像的属性散射中心,进而采用Hungarian算法实现散射中心的匹配。在建立的匹配关系的基础上,设计了一种稳健的散射中心匹配度度量方法计算待识别散射中心与各类模板散射中心的匹配度。该匹配度准则充分考虑了单个散射中心强弱、匹配对强弱以及漏警、虚警带来的影响,对于散射中心集的匹配度的评价更为全面。基于Moving and Stationary Target Acquisition and Recognition(MSTAR)数据集的实验验证了方法的有效性。
文摘The paper draws comparison and analysis among present similarity measure methods in the case of similari-ty measures between Vague values, provides a new similarity measure method, of which discusses on the normalcharacteristics, gives some relative character theorems. At the same time, it analyzes the application of fuzzy similari-ty measures in vague similarity measures and gives its normal forms such as similarity measures between Vague sets,between elements and their weighted similarity measures. Finally, vague entropy rule respectively aiming at twokinds of cases is approached and its corresponding vague entropy expressions is provided. The content of this paper isof practical significance in such fields as fuzzy decision-making, vague clustering, pattern recognition, data miningetc.
