ID 原文 译文
13454 本文通过引入与传统RCS定义相一致的目标散射函数和散射分布函数基本概念,结合经典目标的散射机理和雷达像分析,讨论复杂目标高分辨率雷达图像理解和对像素值的解释。 In this work, two concepts are first introduced, namely, the target scattering function and the target scattering distribution function, which are defined with coincidence to that of conventional RCS. Combining the concepts with an analysis of electromagnetic scattering mechanism and radar images of a classic target, the understanding of high resolution radar images as well as their pixel values for complex targets are discussed.
13455 研究表明：雷达图像的像素值不应直接解释为目标的RCS电平,但在空间频率域和图像域,两者数据之间满足帕萨瓦定理。 It is concluded that, the pixel values of a high resolution radar image should not be simply explained as the RCS level of a target, but Parseval's theorem holds between the data in spatial frequency and in image domains.
13456 在小孔径角成像条件下,空间频率域的RCS均值等于强度图像的全部像素值之和。 In the cases when with a small imaging aperture angle, the average RCS in spatial frequency domain is equal to the summation of the pixel values of a magnitude image.
13457 载荷指向信息是空间目标在轨工作状态感知的重要依据,文中提出了一种基于逆合成孔径雷达(inverse synthetic aperture radar, ISAR)图像中的轴向特征匹配与重建的空间目标载荷指向估计方法,可以反演出空间目标天线载荷的具体指向及观测区域。 The direction information of antenna load is an important basis for the perception of space target in orbit. In this paper, an attitude direction estimation method of antenna load based on axial feature matching and reconstruction is proposed, so the direction and observation area of the antenna load can be reversed.
13458 该方法首先利用Randon变换和极值点检测等从ISAR图像中提取出天线载荷的两个轴线方向,然后再将该轴向特征与仿真特征模板库进行匹配,实现天线载荷轴向姿态角的粗略估计,同时利用三维矢量到二维平面的几何转换关系,建立载荷轴向在轨道坐标系与ISAR成像坐标系之间的姿态解算公式,根据姿态角粗略估计结果及三维重建矩阵实现载荷轴向及指向姿态的优化求解。 First, the two axis directions of the antenna load are extracted from the ISAR image by Randon transform and extreme value detection. Then, the axial feature is matched with the simulation feature template library, and the rough attitude of antenna load can be estimated. Third, using the geometric projection relation of 3 D vector, the formula for calculation the attitude between the orbit coordinate system and the imaging coordinate system is established. Finally, the axial and direction of antenna load can be solved exactly based rough estimation result and geometric projection matrix.
13459 基于动态仿真数据验证了该方法的有效性。 The validity of the method is verified by dynamic simulation data.
13460 非线性目标的探测与识别在国防、反恐、安保、救援、交通安全等领域均具有重要意义。 The detection and identification of nonlinear targets havea great significance in the fields of national defense, anti-terrorism, security, rescue, and traffic safety.
13461 为提高上述场景下对非线性目标的探测识别能力,文中以典型的非线性器件——肖特基二极管为例,构建了非线性目标的谐波散射模型,并在此基础上利用不同类型非线性目标散射的各次谐波强度与变化趋势不同的特性,提出了一种利用数理方法提取分析目标散射特征参数进而实现对非线性目标探测识别的方法。 In order to improve the detection and recognition ability of nonlinear targets in the above scenarios, taking a typical nonlinear device, Schottky diode, as an example, a harmonic scattering model of nonlinear targets is constructed. On this basis, using the characteristics of different harmonic intensity and variation trend of different types of nonlinear target scattering, a method of extracting and analyzing the target scattering characteristic parameters by using mathematical methods to realize the detection and recognition of nonlinear targets is proposed.
13462 实验结果显示,本次提出的方法在小样本下对未知非线性目标的识别率在81%左右,证明了该方法对非线性器件有较好的探测与识别能力。 The experimental results show that the proposed method has a recognition rate of 81% for unknown nonlinear targets under small samples, which proves that the method has better detection and recognition ability for nonlinear devices.
13463 提出一种基于自适应核字典学习的合成孔径雷达(synthetic aperture radar,SAR)目标识别方法.该方法首先将SAR图像的特征信息通过核函数映射到高维度的核空间中并进行字典学习。 A synthetic aperture radar(SAR) target recognition method based on adaptive kernel dictionary learning is proposed in order to enhance the ability of sparse representation to extract non-linear feature information. Firstly, the SAR image feature information is mapped into a high-dimensional kernel space through a kernel function, and then the dictionary is learned in the high-dimensional kernel space.