ID 原文 译文
14085 其次,对于图像间显著的灰度差异,利用提取的局部区域特征求取各个方向的自相似值,确定主方向的特征方向,结合特征梯度位置方向,形成稳定局部自相似特征算子对图像进行配准。 Secondly‚as to the significant gray difference between images‚the extracted features of local area are used to obtain the self-similar values of each direction‚the feature direction of the main direction is determined‚and a stable LSS feature descriptor is formed to register the image by using the feature gradient position direction.
14086 实验结果表明,此算法在有效保留图像边缘信息的同时,对于光学图像和SAR图像之间的成像差异具有较好的鲁棒性,相较于同类配准算法,配准精度提升近20%。 Experimental results show that the proposed algorithm is robust to the imaging differences between optical images and SAR images‚while effectively preserving the edge information of the image.Compared with that of similar registration algorithms‚the registration accuracy of the proposed algorithm is improved by nearly 20%.
14087 雷达对空中目标的分类识别技术是雷达信号处理领域中的关键技术。 Classification and recognition of aerial targets by using the radar is a key technology in the field of signal processing of the radar.
14088 目前大部分雷达目标识别方法通用性较差且对雷达具有较高的要求。 At present‚most target recognition methods by using the radar have poor generality and high requirements on the radar.
14089 针对该问题,提出一种将目标回波的周期性调制谱信息图像化后,基于卷积神经网络调制谱图处理的空中目标识别方法。 To solve this problem‚this paper proposes a method of aerial target recognition based on the processing of modulation spectrum graphs by using the Convolutional Neural Network(CNN)‚after visualizing the periodic information of modulation spectrum of the target echo.
14090 目标调制谱图像通过卷积神经网络逐层变换自动学习到目标特征信息,最终通过分类器进行分类识别。 The modulation spectrum graph of the target automatically learns the target features through the layer-by-layer transformation of the CNN‚and finally the aerial targets are classified and recognized by using the classifier.
14091 该方法避免了传统人工拟定调制谱特征的方式,实现了端对端的空中目标识别方法。 This method avoids the traditional way of manually formulating the characteristics of the modulation spectrum‚and realizes an end-to-end recognition of aerial targets.
14092 实验结果表明,基于调制谱图的卷积神经网络模型具有较高的空中目标识别准确率,且模型的鲁棒性和泛化能力较好。 The experimental results show that the CNN model based on the modulation spectrum graph has higher accuracy in aerial target recognition‚and the model has better robustness and generalization ability.
14093 当前机载传感器管理中,信息引导雷达搜索的空域规划问题由信息误差和经验公式确定,雷达搜索空域较大,使信息引导失去意义。 In the current airborne sensor management,the airspace planning problem in information-guided radar search is determined by information errors and empirical formula.The searched airspace is large‚which makes the information guidance meaningless.
14094 根据雷达搜索空域规划的基本原则,结合目标高斯分布的假设和目标截获概率的推导,建立信息引导雷达空域搜索模型。 According to the basic principles of airspace planning in radar search‚the assumption of targets' Gaussian distribution and the derivation of target interception probability are adopted‚and an information-guided airspace search model is established.