基于相对全变分的复杂背景SAR图像舰船尾迹检测

SAR图像舰船尾迹检测不仅能够反演运动舰船的航速航向信息,也有助于发现图像中弱小的舰船目标。现有的舰船尾迹检测方法对于简单背景SAR图像的检测效果较好,但复杂背景下的检测效果难以满足使用要求。提出一种基于能量泛函极小化的复杂背景SAR图像舰船尾迹检测方法。该方法采用相对全变分技术将图像分解为包含舰船尾迹的光滑成分和海背景纹理成分,通过剪切波变换高频系数重构增强光滑成分,再通过Radon变换检测光滑成分中的尾迹线。比对实验结果表明,本文所提方法对于复杂背景SAR图像的舰船尾迹检测效果明显优于现有的方法。     

New insights into brazilwood lake pigments manufacture through the use of historically accurate reconstructions

A multi-analytical approach for the study of brazilwood and its lake pigments was carried out based on historically accurate reconstructions. Recipes for brazilwood lakes from the fifteenth century technical text Livro de como se fazem as cores and the Winsor & Newton nineteenth century colourman's archive were reproduced and compared. Both primary sources allowed for the successful preparation of brazilwood lake pigments with colours that vary from light pink to dark red. The main steps and ingredients for the manufacture of these pigments were common in both sources, particularly the addition of Al³⁺ in the form of alum, and calcium carbonate (chalk). Reconstructions revealed that the latter acts as a pH buffer and filler, controlling the pH at which the lake pigment precipitates. The main difference between the two sources is that the nineteenth century recipes give the quantities for all ingredients, the precise temperatures and time, and achieved higher relative pigment yields (75% versus 45%). Full chemical characterisation of the reconstructions provided detailed information on the individual steps in the pigment manufacture and revealed that the presence of calcium sulphate dihydrate (gypsum) in the final pigment was a result of its formation in situ. Infrared, reflectance, and fluorescence spectroscopy proved to be essential and complementary techniques: while infrared was used to characterise additives and binders, reflectance and fluorescence data were fundamental for identifying the chromophore. The pigments and paints produced can now be used as standards for the identification and investigation of brazilwood lake pigments found in artworks.     

控制周期时间指标的方法在高栏训练中的应用

通过实验训练 ,阐述控制周期时间指标的训练方法对于提高 110m高栏栏间节奏能力的作用 ,并从理论角度给予检测及分析     

Iris Localization Algorithm Based on Improved Generalized Symmetry Transform

Accuracy and fastness of iris localization are very important in automatic iris recognition. A new fast iris localization algorithm based on improved generalized symmetry transform (GST) was proposed by utilizing iris symmetry. GST was improved in three aspects: 1 ) A new distance weight function is defined. The new weight function, which is effective in iris localization, utilized the characteristic of irises that the iris is a circular object and it has one inner boundary and one outer boundary. 2) Each calculation of the symmetry measurement of a pair of symmetry points was performed by taking one point of a pair as the starting point of the transformation. This is the most important reason for fast iris localization, due to which, repetitious computation was largely excluded. 3) A new phase weight function was proposed to adjust GST to locate circle target much better because the inner part of iris is darker than the outer part. The edge map of iris image was acquired and GST was only implemented on the edge point, which decreased computation without loss of accuracy. The modification of distance weight function and phase weight function leads to the accuracy of localization, and other ideass peed up the localization. Experiments show that the average speed of new algorithm is about 7.0-8.5 times as high as traditional ones including integro-differential operator and Hough transform method.     

小波双线性插值应用于光学遥感图像

针对遥感图像插值要求,尽可能保持原图像信息,提高图像分辨率,并适合人眼观察的特点,提出适合于遥感图像的小波双线性插值方法.实验表明,与双线性插值相比,该算法得到较高的信噪比和较好的图像效果.     

基于SVD和ICA的全息水印算法

基于奇异值分解和独立分量分析,提出一种新的数字全息水印算法。该算法利用全息图的特点,采用数字全息图代替普通的二值图像作为水印图像,提高了水印算法的安全性。奇异值分解被应用于水印的嵌入过程中以提高水印算法抗几何攻击能力,并借助于独立分量分析实现全息水印图像的盲提取。实验结果表明,该算法能有效地抵抗JPEG 压缩、加噪、声滤波和对比度增强等常规攻击,同时,对旋转、平移、翻转和缩放等几何攻击也具有一定的鲁棒性。     

基于哈希函数的小波域脆弱水印算法

针对基于分块独立的脆弱水印算法的安全性问题,提出一种利用查找表和哈希函数的小波域脆弱水印算法。该算法利用小波变换的空频特性,在LL子带用查找表的方法嵌入一个标识水印,用于检测和定位篡改;选取HL子带或LH子带的哈希值作为水印嵌入到HH子带中,用于抵抗各种伪认证攻击。实验仿真结果表明该算法既提高了基于分块的脆弱水印算法的安全性,又保持了良好的局部修改检测性能。     

XML应用的相关技术研究

XML技术是下一代Web核心技术，近年来在XML应用研究和支持技术方面取得了长足的进展．对XML相关技术，如类型定义的DTD和Schema；XML转换的数据岛，CSS，XSLT，DOM和SAX；进行XML文档查询的XPath，XLink，XPointer；以及XML数据库等技术进行讨论．     

多尺度双正交混合多小波包的构造

给出了双正交混合多小波包的构造方法,证明了对应于传统小波包的一些良好性质.利用建立的多尺度双正交混合多小波包,得到了中的2H组基.该方法具有较大的应用价值.     

基于尺度耦合特性分析的侦听网络流量扩张模型

在能量受限的侦听网络中,需要大量的信息交换,由于瓶颈节点的能量消耗无法满足侦听网络的流量需求,需要进行流量扩张模型构建。传统方法采用对偶子梯度法实现对侦听网络的流量扩张,方法只能考虑一种流量和节点的组合,适应性能不好。提出一种基于小波变换尺度耦合特性分析的侦听网络流量扩张模型,对侦听网络流量时间序列进行采集与分析,通过小波尺度耦合分析,对路由接收的调度任务指令数量做出有效预测,从而为调度模型的建立提供准确的数据基础。分析流量序列的瞬时频率线性变化规律,得到带宽频间谐振模型,通过小波尺度耦合特性约束,提高了流量的流通量,实现流量扩张。仿真结果表明,算法能有效提高侦听网络的数据流吞吐量,网络流量通道得到有效扩张,提高了侦听网络的安全性和通信效率,展示了较好的应用性能。