NEW SAR IMAGE INTERPRETATION METHOD OF AIRCRAFT BASED ON JOINT TIME-FREQUENCY ANALYSIS

With the continuous improvement of Synthetic Aperture Radar(SAR) resolution, interpreting the small targets like aircraft in SAR images becomes possible and turn out to be a hot spot in SAR application research. However, due to the complexity of SAR imaging mechanism, interpreting targets in SAR images is a tough problem. This paper presents a new aircraft interpretation method based on the joint time-frequency analysis and multi-dimensional contrasting of basic structures. Moreover, SAR data acquisition experiment is designed for interpreting the aircraft. Analyzing the experiment data with our method, the result shows that the proposed method largely makes use of the SAR data information. The reasonable results can provide some auxiliary support for the SAR images manual interpretation.

Quality Analyses of Fine Structures Transfer in the Photorealistic Images

This work presents method of the quality analyses of the photorealistic images. Developed method utilizes proposed criteria of image definition quality for fine details. Presented method has the following significant property: the quality estimation is provided without test images or patterns. Algorithm for search and recognition of fine structures in the photorealistic images using the predefined criterion is considered.

Research on time-frequency cross mutual of motor imagination data based on multichannel EEG signal

At present,multi-channel electroencephalogram(EEG)signal acquisition equipment is used to collect motor imagery EEG data,and there is a problem with selecting multiple acquisition channels.Choosing too many channels will result in a large amount of calculation.Components irrelevant to the task will interfere with the required features,which is not conducive to the real-time processing of EEG data.Using too few channels will result in the loss of useful information and low robustness.A method of selecting data channels for motion imagination is proposed based on the time-frequency cross mutual information(TFCMI).This method determines the required data channels in a targeted manner,uses the common spatial pattern mode for feature extraction,and uses support vector ma-chine(SVM)for feature classification.An experiment is designed to collect motor imagery EEG da-ta with four experimenters and adds brain-computer interface(BCI)Competition IV public motor imagery experimental data to verify the method.The data demonstrates that compared with the meth-od of selecting too many or too few data channels,the time-frequency cross mutual information meth-od using motor imagery can improve the recognition accuracy and reduce the amount of calculation.

用扫描仪及Image J软件精确测量叶片形态数量特征的方法

传统的纸样称重法用来测量离体叶片的面积,烦琐、耗时、精度不高。为寻求一种适合的方法,我们对离体叶片采用扫描仪获取叶片的数字图像,利用Image J软件测量叶片的长、宽、周长、面积及叶柄的长,并与传统的纸样称重测定叶面积法进行比较。结果表明,此方法具有低成本、快速、精确等特点,适用于植物形态学、植物生理生态学、林学及农业等对叶片形态特征的测量研究工作。

Blind Source Separation based on Time-Frequency Morphological Characteristics for Rigid Acoustic Scattering by Underwater Objects

Separation of the components of rigid acoustic scattering by underwater objects is essential in obtaining the structural characteristics of such objects. To overcome the problem of rigid structures appearing to have the same spectral structure in the time domain, time-frequency Blind Source Separation （BSS） can be used in combination with image morphology to separate the rigid scattering components of different objects. Based on a highlight model, the separation of the rigid scattering structure of objects with time-frequency distribution is deduced. Using a morphological filter, different characteristics in a Wigner-Ville Distribution （WVD） observed for single auto term and cross terms can be simplified to remove any cross-term interference. By selecting time and frequency points of the auto terms signal, the accuracy of BSS can be improved. A simulation experimental has been used to analyze the feasibility of the new method, with changing the pulse width of the transmitted signal, the relative amplitude and the time delay parameter. And simulation results show that the new method can not only separate rigid scattering components, but can also separate the components when elastic scattering and rigid scattering exist at the same time. Experimental results confirm that the new method can be used in separating the rigid scattering structure of underwater objects.

Effects of disparity distribution on visual comfort for multiple objects of stereoscopic images

With the development of stereoscopic technology, more attention is attracted on the stereoscopic three-dimensional(S3 D) content and service, and researches on images and videos have emerged in large numbers. This paper focuses mainly on visual comfort affected by characteristics of disparity for multiple objects. To find the relationship between disparity distribution and visual comfort perception, several subject evaluation experiments are done. The study contains two spatial distribution types of disparity: 1) only one of the foreground objects has zero disparity; 2) one of the foreground objects has positive disparity, while the other one has negative disparity. The experimental results and relative regression analysis provide appropriate relationship between disparity distribution and visual comfort for both conditions, which is significant to meet the applicant field in S3 D content acquisition, display adjustment and quality evaluation.

Geophysical Investigation of a Solid Waste Disposal Site Using Integrated Electrical Resistivity Tomography and Multichannel Analyses of Surface Waves Methods

Electrical resistivity tomography survey was deployed at a solid waste landfill in southwest Missouri USA with the intent to map variations in moisture content through the solid waste and underlying subsurface, and to map the top of bedrock. Multichannel analyses of surface waves survey was also deployed to map variations in engineering properties of the solid waste and underlying subsurface, and to constrain the interpretations of top of bedrock. The 2-D resistivity images through the waste suggest rainwater seeps through the cap cover system of the solid waste landfill, and moisture content within the solid waste increases with solid waste burial depth. The resistivity anomalies displayed by the soil and bedrock directly underneath the solid waste suggests a lateral component to moisture infiltrating at the toe of the landfill, which is flowing inward to the base of solid waste structural low. The 1-D shear wave velocity profiles obtained from the multichannel analyses of surface waves survey helped interpret the top of bedrock underneath the solid waste, where top of bedrock is difficult to map using electrical resistivity tomography, as shallow fractured bedrock is moist and displays comparable resistivity values to that of overlying soil. Not surprisingly, the top of bedrock is readily identified on the electrical resistivity tomography profiles in places where subsurface is relatively dry. The deployment of the combined non- invasive, cost and time effective geophysical surveys, along with engineering judgement on available site history data, has reasonably identified potential landfill seepage pathways. The methodology presented could be used in similar site investigation settings.

Study of Spherulite Growth Rate and Morphology of Polypropylenebased Blends by Image Processing Technology

The method for measuring the spherulite growth rate and studying the morphology of polypropylene - based blends by image processing technology is described. The main advantages of this method, as compared to existing techniques, are: better reliability; reproducibility; ease of manipulation. Such an approach provides a means of measuring the rate of spherulite growth. In this study, isotactic polypropylene (PP), polystyrene (PS)/PP, and polybutylene terephthalate (PBT)/PP have been studied. The results show that the technology of image analysis is very useful in the study of the kinetics of crystallization of polymer.

Fault Diagnosis for IC Engines Using Wavelet Packet and Image Processing

There are few applications of image processing technology for diagnosing andstate monitoring for internal combustion (IC) engines, which is discussed in detail in this paper.The time-frequency distribution images of cylinder head vibration signals are obtained bydecomposing them with a wavelet packet algorithm. It is the first time that we look attime-frequency distribution images from the point of images. Based on this, a new method forapplying image processing technology for diagnosing and state monitoring for internal combustionengines is presented in this paper. A valve fault diagnosis model is set up by image matching, whichis realized on a four-stroke, six-cylinder diesel engine. At the same time, some notes arepresented in this paper. It has been proved that it is of no good effect to diagnose with histogramsof time-frequency images generated by cylinder head vibration signals that have been processed witha wavelet packet algorithm. The reason is given in this paper. Comparisons of diagnosing effect arecarried out between noise-added signals and original signals. It has little effect on diagnosingresults after signals have been added with noise. The results show that this method has a clearphysical meaning and is of good engineering practicability, feasibility, good precision and highspeed.

当代反无人机系统技术综述

当前,无人机的不断迅猛发展,已经对各国公共安全造成了重大威胁,无人机威胁相关报道层出不穷,如何有效地探测和打击危害公共安全的无人机成为了一个挑战。近年来,反无人机系统利用各种技术探测、跟踪和识别无人机,在有效地应对无人机威胁方面发挥了重要的作用。主要围绕当代反无人机系统技术,从射频(RF)分析仪、雷达、视觉传感器和图像处理、声学传感器4种系统技术展开研究,分析了每种技术的特点和优劣,并总结了当代反无人机系统技术的发展趋势,以期为相关人员更好地了解和应用反无人机系统技术提供一定的指导。

基于数字照片特征的小麦覆盖度自动提取研究

植被覆盖度是农作物的一个重要参数.本文利用数字相机获取田间小麦冠层影像,通过基于特征的自动影像分类估测覆盖度和叶面积指数.在分析数字影像中小麦和背景特征的基础上设计了小麦覆盖度的提取算法,并开发了一个对影像进行自动分类提取小麦覆盖度的程序包.该方法综合了ISO-DATA无监督分类的快速、操作简便的优点和最大似然法监督分类精度高的优点,分类精度达90%左右.此外还分析了自动分类的误差来源,提出了改进办法,指出了自动分类方法的适用范围.

图像测量系统中的误差分析及提高测量精度的途径

为了进一步提高图像测量系统的测量精度，必需考虑影响测量精度的诸多因素，如：照明视场噪声、热电子噪声、ＣＣＤ性能、镜头畸变、量化误差、帧存与ＣＣＤ不同步、温度、振动、视频馈线等的影响。本文将分析这些误差对图像测量系统测量精度的影响，并给出消除或减小误差的有效方法。

成人与新生儿心脏连接蛋白43表达差异

目的 探讨成人与新生儿心脏连接蛋白 4 3(Cx4 3)表达差异。 方法 应用SP免疫组织化学和图像分析方法 ,观测成人与新生儿心脏Cx4 3的蛋白表达。 结果 1 新生儿心脏Cx4 3在心房和心室均呈斑点状遍布于心肌细胞侧面连接处和细胞质内 ,闰盘处极少。 2 成人Cx4 3表达在心房肌非均质分布于细胞侧面连接处和端闰盘处 ;心室肌典型地排列在闰盘处。 3 图像分析表明 ,心肌细胞Cx4 3分布密度 ,新生儿心房 <心室 ,成人心房 >心室。成人心房、心室均低于新生儿。 结论 新生儿Cx4 3主要分布于心肌细胞侧连接处 ,成人心房和心室存在差异。Cx4 3分布密度新生儿心房 <心室 ,成人心房 >心室 ;成人心脏低于新生儿。提示 ,Cx4 3有增龄变化。

基于图象方向性信息测度的图象象素分类

针对以往图象处理方法缺乏通用性的问题 ,提出了一种新的基于图象方向性信息测度的图象象素分类方法 ,即利用不同类型的图象象素的方向性信息测度 ,以及方向性信息测度随观察尺度变化时的改变不同 ,来将图象象素分成边缘点、平滑点和纹理点以用于图象分析 .该方法不仅可以用于任意图象的前期分析 ,而且具有良好的抗噪能力 .实验证明 ,该方法具有令人满意的效果 .

雷公藤多甙预防大鼠肾病的体视学研究

应用新近发展起来的体视学方法和计算机图像分析系统，在光镜和电镜水平，同时结合功能观察，定量研究了雷公藤多甙对阿霉素所致肾病大鼠肾小球三维空间构筑和多聚阴离子含量的影响。结果表明，雷公藤多甙对病鼠肾脏滤过屏障机械通透性能的降低并无明显改善作用，其治疗肾病蛋白尿的机理主要是通过保护或修复肾小球电荷屏障来实现的。

磁共振图像实现人体体成分数字化的研究

采用对人体无任何辐射的磁共振(MR)方法对人体进行全身扫描,结合各种图像软件Photoshop,Matlab对 获得的磁共振图像(MRI)进行数字化分析,获得人体内各种组织质量,并用获得的结果与生物电阻抗人体成分测试仪 Inbody3.0及皮褶法测试的结果进行比较,表明体脂肪质量生物电阻抗法与MRI分析法的测量结果差别为Δm(脂肪)= (0.3±1.65)/kg,Δw(脂肪)=(0.5±2.24)%,皮褶法与MRI分析法结果的Δw(脂肪)=(3±3.62)%,说明生物电阻抗 法比皮褶法的测量结果更加准确,其原理更为科学.

江苏岸外辐射沙脊群东沙稳定性研究

东沙是江苏岸外辐射沙脊群中的第二大沙洲,具有独特的地形地貌和水动力条件,对它进行稳定性研究为揭示整个辐射沙洲及其邻近岸滩的动态演变都非常有益。通过利用多年遥感卫片资料、1998年取得的现场水文泥沙观测资料和东沙滩面表层沉积物资料等,对东沙的地形地貌特征、沉积特征和东沙两侧潮汐通道的水流泥沙特征等进行了详细分析。研究结果表明,东沙的沙脊偏于西侧,西侧滩面较窄、高程较高且岸线较为顺直,东侧滩面较宽、高程较低且岸线较为破碎;西洋和陈家坞槽均处于冲刷状态,净输沙的主要方向为输向槽外或输向条子泥;东沙近三十年来面积有所缩小且有外围向中央收缩的趋势,尤其以向东、向南方向的迁移最为明显。

基于形态特征的图像分割方法

提出了一种基于形态特征的图像分割方法,主要采用形态特征对目标分类,结合目标数学形态分析犤1犦和局部区域二值化将目标准确地分割出来。该方法主要应用于目标图像背景复杂、目标灰度变化不均、传统方法分割不理想的情况。实验证明该方法具有很强的抗干扰能力,算法简单、速度快在实际应用中分割结果令人满意。

DPIV相关分析中相关窗口大小的确定

在数字粒子图像测速系统 (DPIV)中 ,目前常用数字图像相关方法获取粒子图像中的运动信息 ,其中相关窗口尺寸参数的选择是至关重要的。通过对相关分析方法的分析 ,依据采样定理提出了确定相关分析窗口尺寸的新依据。通过对絮凝池水流流场的量测验证表明 ,采用该方法具有分析结果精度高、可靠性强的特点。

基于时频图像分析的核爆与雷电电磁脉冲识别

根据核爆和雷电电磁脉冲信号非平稳、非线性特点,对核爆电磁脉冲(NEMP)和雷电电磁脉冲(LEMP)信号进行了Hilbert谱分析,计算了二者Hilbert谱的图像区域特征,对二者进行了识别研究,并且从NEMP和LEMP不同的产生机理上对识别结果进行了分析。实验结果表明:以Hilbert谱的面积和重心,以及六维图像区域特征作为特征,对NEMP和LEMP的识别率达到了90%以上,可以对二者进行有效识别。