预啁啾和脉冲沿锐度对光脉冲线性传输的影响

从忽略光纤非线性效应的光脉冲非线性薛定谔方程出发,在光纤正色散区,利用傅立叶变换和反傅立叶变换模拟了不同初始啁啾的二阶与四阶超高斯光脉冲波形随距离的三维演化.分析讨论了脉冲沿锐度以及脉冲预啁啾对脉冲波形演化的综合影响.结果表明:不论脉冲有无预啁啾,光脉冲波形最终都将随着传输距离的增大而展宽.但是负预啁啾将使脉冲波形在脉冲传输的初始阶段发生严重的畸变,即脉冲会分裂成尖峰结构,并且尖峰的数目和能量分布随距离而变.而当预啁啾为正或零时,脉冲前期的畸变很弱.随着脉冲沿锐度的增大,脉冲畸变会加强.此外,在脉冲的前后边缘会出现矮小的峰.整个脉冲波形都是中心对称的.     

青海大柴旦断裂古地震特征

通过卫星影像解译发现,青海海西地区大柴旦东侧山前洪积扇上发育了一条影像特征清晰、连续性较好的活动断裂带,被称为大柴旦断裂。野外追踪调查确认该断裂为一条总体走向NNW(340°左右),长度约125km的活动断裂带。该断裂属柴达木盆地北缘断裂系的重要组成部分,晚第四纪构造活动具挤压逆冲特征兼右旋走滑分量。山前冲洪积扇保存有多级较小的断层陡坎、断层沟槽和冲沟右旋等断错地貌现象。利用差分GPS技术对断层陡坎进行测量,单条小陡坎的高度一般为0.5~1m,多条陡坎组合累积高度为3~5m。通过对2个天然古地震剖面和3个探槽剖面进行综合分析,最前缘的主控断层为逆冲断层,后缘表现为张性正断层的组合形式,断裂新构造活动具有逐渐向山前扩展的特征。根据样品14C测年结果大致确定了5次古地震事件,其中全新世以来有4次;古地震时间具有准周期性,其复发间隔约为2 000年。最近一次古地震事件的离逝时间是(1 935±60)a B.P.之后,说明大柴旦断裂离逝时间与复发间隔较接近,地震危险性比较高。     

结合自适应PCNN的非下采样剪切波遥感影像融合

为解决全色与多光谱遥感影像融合中脉冲耦合神经网络参数不能自适应调节问题,提出一种基于参数自适应脉冲耦合神经网络模型(PA-PCNN)和保持能量属性(EA)融合策略相结合的非下采样剪切波变换(NSST)的遥感影像融合方法:①通过提取多光谱影像YUV颜色空间变换的Y亮度分量并与全色影像进行NSST变换,获得高频系数和低频系数.②针对低频子带系数,采用EA法进行融合;针对高频子带系数,通过PA-PCNN模型得到的最优参数,以确定最优的PCNN模型,进而实现高频子带系数的融合.③将NSST和YUV进行逆变换得到融合影像.本文选取空间频率、相对无量纲全局误差、相关系数、视觉信息保真度、基于梯度的融合性能和结构相似度测量等6种客观评价指标对融合影像的光谱和空间细节评价,利用多组不同分辨率全色和多光谱遥感影像,通过与4种融合方法对比验证,结果表明本文方法在视觉感知和客观评价方面总体优于其他全色与多光谱遥感影像融合方法.     

虚拟仪器在天气雷达发射机脉冲测试中的应用

随着我国新一代天气雷达（CINRAD）的广泛布网,雷达的维修维护工作显得日益繁重。利用虚拟仪器测试系统对雷达重要参数指标测试是一种便捷有效的方式。本文从发射机射频脉冲包络以及其测量方法的介绍出发,搭建一套基于PXI(PCI eXtensions for Instrumentation)模块化仪器的虚拟仪器系统,采用LabVIEW(Laboratory Virtual Instrument Engineering Workbench)软件编程实现参数测试测量功能,通过实验完成了对脉冲包络的重要参数测试。虚拟仪器测试系统与传统仪器对比测量结果,验证了该测试系统的可靠性。     

分块DPCM与5/3整数小波变换结合的天文图像无损压缩

针对海量的天文图像数据与有限的存储空间和带宽资源之间矛盾日益突出这一问题,提出一种无损压缩方法,首先将超大天文图像分块,再使用差分脉冲编码调制和5/3整数小波变换,最后使用霍夫曼算法编码。对该方法的原理和具体实现做了详细的分析与介绍,通过实验验证该方法比天文中常用的tar、PKZip、WinZip、WinRar软件在压缩比上分别提高了30%、29%、26%、2%,压缩速度远大于WinZip和WinRar;且该算法实现简单,适合硬件实现和利于并行处理。     

河流生态系统结构功能整体性概念模型

在完善与整合现有河流生态系统结构功能概念及模型的基础上,提出河流生态系统结构功能整体性概念模型。水文情势、水力条件和地貌景观格局是对河流生态系统结构与功能具有关键影响的3大生境要素,结构功能模型的核心是建立以3大生境要素为构架的生命支持系统与河流生命系统之间的相互作用和相互制约关系,同时考虑由于人类活动引起生境要素变化对于河流生态系统的影响。河流生态系统结构功能整体性概念模型由以下4种模型组成:河流四维连续体模型、水文情势-河流生态过程耦合模型、水力条件-生物生活史特征适宜模型以及地貌景观空间异质性-生物群落多样性关联模型,这4种模型的一体化整合,基本概括了河流生态系统结构功能的整体特征。     

基于阈值区间的海洋锋面提取模型

A model （Bayesian oceanic front detection, BOFD） of sea surface temperature （SST） front detection in satel- lite-derived SST images based on a threshold interval is presented, to be used in different applications such as climatic and environmental studies or fisheries. The model first computes the SST gradient by using a Sobel algorithm template. On the basis of the gradient value, the threshold interval is determined by a gradi- ent cumulative histogram. According to this threshold interval, front candidates can be acquired and prior probability and likelihood can be calculated. Whether or not the candidates are front points can be deter- mined by using the Bayesian decision theory. The model is evaluated on the Advanced Very High-Resolution Radiometer images of part of the Kuroshio front region. Results are compared with those obtained by using several SST front detection methods proposed in the literature. This comparison shows that the BOFD not only suppresses noise and small-scale fronts, but also retains continuous fronts.     

中国北部黄海近岸水体周丛硅藻的群落群集动态特征的研究

The colonization features of periphytic diatoms were studied in coastal waters of the Yellow Sea, northern China from May to June 2010, using glass slides as an artificial substratum. Samples were collected at a time interval of 1, 3, 7, 10, 14, 21 and 28 d from two depths of 1 and 3 m. The dynamics of diatom colonization process had a similar pattern in community structure and fitted the logistic model in growth curve at both depths. The maximum abundance and the time for reaching 50% maximum abundance （10 d） showed no significant differences （P〉0.05） between two depths 1 and 3 m. Although the diatom communities repre- sented similar taxonomic composition, they differed in the temporal pattern of structural parameters and in succession dynamics of dominant species between the two layers. The species richness showed significantly higher values during the colonization period more than 14 d, while the species diversity and evenness rep- resented a higher variability with significantly different values （P〈0.05） at a depth of 1 m than at a deeper layer. The results suggest that the diatom colonization follows the logistic model growth curve and differs in colonization features between different depths in the coastal waters, and that the sampling strategy at i m is more effective to detect the ecological features for bioassessment in marine ecosystems.     

海杂波微弱目标分形检测

The target on the sea surface is complex and difficult to detect due to the interference of backscattered returns from the sea surface illuminated by the radar pulse. Detrended fluctuation analysis （DFA） has been used successfully to extract the time-domain Hurst exponent of sea-clutter series. Since the frequency of the sea clutter mainly concentrates around Doppler center so that we consider to extract frequency-do- main fractal characterization and then detect a weak target within sea clutter by using the difference of frequency-domain fractal characterization. The generalized detrended fluctuation analysis （GDFA） is more flexible than traditional DFA owing to its smoothing action for the clutters. In this paper, we apply the GDFA to evaluate the generalized Hurst exponent of sea-clutter series in the frequency domain. The difference of generalized Hurst exponents between different sea-clutter range bins would be used to determine whether the target exists. Moreover, some simulations with the real IPIX radar data have also been demonstrated in order to suooort this conclusion.     

一种多极化SAR图像融合方法研究

本文针对多极化SAR图像的融合问题,提出了一种基于非下采样Contourlet变换(NSCT)与脉冲耦合神经网络(PCNN)的图像融合方法。此方法用NSCT对已配准的多极化SAR图像进行分解,得到低频子带系数和各带通子带系数;采用简化的PCNN模型分别对低频子带和高频子带系数进行智能决策,并进行NSCT逆变换得到融合图像。经实验表明该方法能够最大程度地保留原始极化SAR图像的信息,融合效果好于基于单个像素和局部特征的融合方法。