ID 原文 译文
50707 最终得到增强后的红外面目标图像。 finally obtained the enhanced red outside the target image.
50708 利用实测的长波红外偏振图像数据对算法的可行性和有效性进行了验证，实验结果表明，在灰度对比度、平均梯度、图像熵3种图像质量评价指标下， Using the measured long wave infrared polarization imaging data on the feasibility and effectiveness of this algorithm is verified, the experiment results show that the gray contrast, average gradient, image entropy under three kinds of image quality evaluation index,
50709 经此算法增强后的图像质量更高，为后续目标细节识别和攻击点选择等算法的实现奠定了良好的数据基础。 after the algorithm to enhance the image quality is higher, details for later target recognition and focal point selection algorithm to realize data laid a good foundation.
50710 采用了一种空间敏感度特征包(spatially-sensitive bags of feature，SS-BOF)来实现合成孔径雷达(synthetic aperture radar，SAR)图像的地物识别。 A spatial sensitivity was used to wrap (spatially - sensitive bags of feature, SS - BOF) for synthetic aperture radar (synthetic aperture radar, SAR) image feature recognition.
50711 首先采用推广的核模糊C-均值方法分割SAR图像，提取SAR图像目标图形; First nuclear fuzzy C - average method is used to SAR image segmentation and extraction of SAR image target graphics;
50712 采用Harris角点检测子提取角点，接着对目标图形进行Delaunay三角剖分; The Harris corner detection to extract the corner, then Delaunay triangle subdivision of target graphics;
50713 采用cotangent weight方法对三角剖分图赋值，进而求得离散化Laplace-Beltrami算子的特征值、特征向量，并计算SS-BOF， The cotangent weight method of triangle subdivision graph assignment, then the discretization of Laplace - Beltrami operator eigenvalue and eigenvector,
50714 进而对地物目标进行识别，其识别方法采用比L1相似准则效果更好的相关系数法; and calculate the SS - BOF, and then to ground object target recognition, the recognition method using better than L1 similarity criterion of correlation coefficient method;
50715 最后与热核迹等热核不变量特征以及Hu不变矩特征进行对比。 Finally with thermonuclear fusion invariant characteristics such as trace and Hu moment invariant features were compared.
50716 实验表明:空间敏感度热核特征的识别率高于热核不变量的识别率， Sensitivity experiment showed that the spatial characteristics of thermonuclear recognition rate is higher than thermonuclear invariant recognition rate,