Stochastic models for recognition of occluded targets

Recognition of occluded objects in synthetic aperture radar (SAR) images is a significant problem for automatic target recognition. Stochastic models provide some attractive features for pattern matching and recognition under partial occlusion and noise. In this paper, we present a hidden Markov modeling based approach for recognizing objects in SAR images. We identify the peculiar characteristics of SAR sensors and using these characteristics we develop feature based multiple models for a given SAR image of an object. The models exploiting the relative geometry of feature locations or the amplitude of SAR radar return are based on sequentialization of scattering centers extracted from SAR images. In order to improve performance we integrate these models synergistically using their probabilistic estimates for recognition of a particular target at a specific azimuth. Experimental results are presented using both synthetic and real SAR images.     

相位编码信号在综合脉冲孔径雷达中的应用

从模糊函数概念出发讨论了稀布阵综合脉冲孔径雷达（简称ＳＩＡＲ）增大发射信号的时宽带宽积时存在的距离栅瓣效应．当采用相位编码调制各个阵元的发射信号时，不仅可以满足ＳＩＡＲ对各向同性照射的要求，而且可以克服这种效应．这表明大时宽带宽积信号同样可以用于ＳＩＡＲ这种新体制雷达，从而有利于提高其作用距离和分辨能力．     

基于FRFT的线性调频信号映射方法的快速算法

针对基于分数傅立叶变换(Fractional Fourier transform，FRFT)的线性调频信号(LFM)的参数估计方法，提出了基于Radon变换的判决准则，并建立了相应的快速算法。该映射方法将具有同样调频斜率、同样多普勒中心频率、不同初始相位的信号映射到同一个点。该快速算法的计算量等同于FRFT的计算量，计算结果的精确度取决于连续两次的FRFT运算。     

基于小波域空间树结构的合成孔径雷达图像压缩

空间树结构SOT(Spatial-Orientation Tree)在基于小波的SAR图像压缩中扮演着及其重要的角色,包括EZW(Embedded Zero-tree Wavelet)和SPIHT(Set Partitioning in Hierarchical Trees)的图像压缩编码方法,都利用了SOT中的父子关系。斑点噪声的存在,严重降低了SAR图像的质量和可压缩性。作为研究不同分辨率小波系数的空间相关性的非常有效的数据结构,SOT在斑点噪声去除中并没有得到很好的利用。提出一种新的SAR图像压缩方法,该方法结合基于SOT结构的斑点噪声去除和EZW嵌入式零树编码算法,对机载合成孔径雷达图像压缩实验的结果显示,该方法优于JPEG和标准EZW算法。     

基于分块技术的相位展开算法

对干涉相位图的相位展开是干涉合成孔径雷达处理过程中的重要步骤,也是干涉合成 孔径雷达理论与应用研究的难点所在.在充分利用干涉相位图中的干涉条纹信息的基础上,提出 了一种基于分块技术的相位展开算法.首先对干涉相位图做了分块处理,块是由干涉条纹线和图 像边界线组成的一个封闭的区域,在一个块内不存在相位跳跃,即在块内的相位展开已经完成. 在下一步对全图做相位展开时,再逐块进行.最后通过后处理技术进行错误校正.通过对真实数 据的实验和与传统方法的比较,证实了算法的有效性和稳定性．     

Unsupervised image segmentation using a simple MRF model with a new implementation scheme

A simple Markov random field model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model for segmentation requires training data to estimate necessary model parameters and is thus unsuitable for unsupervised segmentation. The new implementation scheme solves this problem by introducing a function-based weighting parameter between the two components. Using this method, the simple MRF model is able to automatically estimate model parameters and produce accurate unsupervised segmentation results. Experiments demonstrate that the proposed algorithm is able to segment various types of images (gray scale, color, texture) and achieves an improvement over the traditional method.     

高斯光束经波长级圆孔衍射的轴上光强特性

基于横截面上精确表述的光强和精确的衍射场公式 ,对高斯光束经波长级圆孔衍射的轴上光强特性进行了研究。结果表明 ,高斯衍射光束的轴上光强特性取决于初始高斯半宽度w0 和波长级圆孔的孔径R。对于w0 /R≥ 1的高斯衍射光束 ,轴上光强存在的极值个数和出现的位置仅由比值m=2R/λ决定 ,最大的轴上光强均出现在N =R2 / (λz) =1的地方 ;至于轴上光强极值的峰和谷明显与否 ,取决于w0 /R的比值 ,比值越大 ,轴上光强极值的峰和谷就越明显。当w0 /R的比值足够大时 ,就趋向于平面波入射时的情形。而对于w0 /R<1的这一类高斯衍射光束 ,轴上光强存在特定的演化规律 :随着初始高斯半宽度的减小 ,轴上光强极值个数逐步减少直至全部消失。     

基于子孔径斜率离散采样的波前重构

由于现有评价与测试方法不能满足3~4m地基光电探测系统在不同仰角下对光学系统波前检测的需求,本文提出了基于子孔径斜率离散采样,再重构全口径波面轮廓的波像差测试方法。采用光学模拟与数学分析协同仿真的方法,研究了波面重构算法的不确定度以及扫描运动引起的子孔径倾斜误差、子孔径扫描位置误差、像点坐标测量误差与波前复原精度间的作用规律。仿真结果显示,迭代算法的相对误差ΔPV为0.002 8λ(λ=632.8nm),模式算法的相对误差ΔPV为0.002 7λ。当子孔径倾斜误差小于0.2″,波面重构误差ΔPV约为0.02λ。当子孔径采样位置精度优于0.2mm,其引入的波面重构误差小于0.04nm(PV);当子孔径像点坐标提取精度优于5μm,波面重构误差ΔPV约为0.03λ。研究结果表明,当考虑波面重构过程中的实际测量误差时,模式算法的误差容限较高,收敛性更好。此外,构建实际测试装置时,需引入角度监测与算法误差补偿机制,子孔径倾斜角度监测系统的测角精度需优于0.2″。     

MIMO SAR OFDM chirp waveform design and GMTI with RPCA based method

Multiple-input multiple-output synthetic aperture radar (MIMO SAR) has drawn wide attention for its increased degrees of freedom (DOFs) compared to the traditional multi-channel SAR (MC-SAR) system. The MIMO SAR system, which makes each antenna illuminate one subswath, can widen the range swath without decreasing PRF. One of the foremost tasks involved in the MIMO SAR system is the waveform design at the transmitter. Moreover, at the receiver, how to accurately separate the auto-correlation signal from the cross-correlation interferences is the other important issue. In this paper, an orthogonal frequency division multiplexing (OFDM) chirp signal designing method is firstly proposed, which is based on low cross-correlation interferences and good peak-to-sidelobe ratio (PSLR) rules. Using the designed OFDM chirp signals, the focused signal of MIMO SAR system matched the robust principal component analysis (RPCA) basic model. The moving target (sparse signal), clutter (low-rank signal) and noise (noise signal) can be separated directly. Hence, RPCA based method can be employed for ground moving target indication (GMTI) with no need for extracting the matched signal or suppressing the unmatched interferences. Extensive simulations demonstrate the effectiveness of the waveform designing method and GMTI with RPCA based method for MIMO SAR system.     

Active control of terahertz multimode resonance transmission through subwavelength metal annular aperture arrays

Ultrafast optical properties of U-shaped annular aperture arrays (UAAAs) fabricated on a silicon substrate were investigated for varying photodoping levels of the silicon from the back to front interfaces of the sample. Experimental data demonstrate that the transmission modulation depth of the multimode resonance can be realized about 90% under optical power 60 mW, and the off switch of these resonance peaks transmission can be also simultaneously achieved within several picoseconds. Such plasmonic structure is able to be used for ultrafast optical modulators, active terahertz plasmonics, and ultrafast optical off switch.