Bayesian edge detector for SAR imagery using discontinuity-adaptive Markov random feld modeling

Synthetic aperture radar（SAR）image is severely affected by multiplicative speckle noise,which greatly complicates the edge detection.In this paper,by incorporating the discontinuityadaptive Markov random feld（DAMRF）and maximum a posteriori（MAP）estimation criterion into edge detection,a Bayesian edge detector for SAR imagery is accordingly developed.In the proposed detector,the DAMRF is used as the a priori distribution of the local mean reflectivity,and a maximum a posteriori estimation of it is thus obtained by maximizing the posteriori energy using gradient-descent method.Four normalized ratios constructed in different directions are computed,based on which two edge strength maps（ESMs）are formed.The fnal edge detection result is achieved by fusing the results of two thresholded ESMs.The experimental results with synthetic and real SAR images show that the proposed detector could effciently detect edges in SAR images,and achieve better performance than two popular detectors in terms of Pratt＇s fgure of merit and visual evaluation in most cases.     

某类比例导引飞行器的制导回路稳定性分析方法

针对某类采用比例导引制导方法的飞行器,在传统稳定性分析的基础上,详细推导了制导回路模型并进行了线性化,建立了完整的多回路稳定性分析模型.并计算了各回路的开环传递函数,分析了比例导引参数对稳定性的影响,对比例导引参数的选取和控制网络的设计起了指导作用.     

SpaceMocap：在轨人体运动捕捉系统

SpaceMocap是一套基于多RGB-D相机的计算机视觉航天员运动捕捉系统。地面准备阶段，扫描航天员模型，并分别标定彩色相机的内参数。在轨采集阶段，3~4台相机布置在舱内角落，同步采集航天员任务视频。地面处理阶段，通过相机外参数标定和ICP方法实现点云融合，采用深度神经网络对人体关节点位置进行检测并初始化位姿参数，再用改进的ICP方法进行位姿求精，实现序列图像中关节角度跟踪。本系统搭载TG-2升空，对SZ-11航天员的任务视频进行了采集和处理，首次获取了在轨航天员的姿态(包括中性体位)、占位空间、运动参数等重要数据。结果表明，运动捕捉的模型与点云具有良好的重合度，关节点位置与关节角度具有较高的跟踪精度。SpaceMocap是我国首个在轨运动捕捉系统，它小型、轻质，具有计算机视觉特有的非接触测量、直观、高精度优势，无需在人体上粘贴任何标志，具有良好的抗遮挡能力，完全适用于微重力、狭小空间环境下的在轨应用 。     

A New Probabilistic Transformation in Generalized Power Space

The mapping from the belief to the probability domain is a controversial issue, whose original purpose is to make (hard) decision, but for contrariwise to erroneous widespread idea/claim, this is not the only interest for using such mappings nowadays. Actually the probabilistic transformations of belief mass assignments are very useful in modern multitarget multisensor tracking systems where one deals with soft decisions, especially when precise belief structures are not always available due to the existence of uncertainty in human being's subjective judgments. Therefore, a new probabilistic transformation of interval-valued belief structure is put forward in the generalized power space, in order to build a subjective probability measure from any basic belief assignment defined on any model of the frame of discernment. Several examples are given to show how the new transformation works and we compare it to the main existing transformations proposed in the literature so far. Results are provided to illustrate the rationality and efficiency of this new proposed method making the decision problem simpler.     

微小卫星平台公共总线技术——CAN网络应用

对局域控制网络(CAN)协议在“清华一号”微小卫星平台上的应用作了描述。提出了微小卫星对平台公共总线的要求,介绍了CAN网络的特点,阐述了CAN协议的帧结构,并在此基础上提出了针对卫星子系统数据通讯所作的改进协议。还给出了微小卫星星载计算机子系统的CAN节点硬件设计结构和软件控制流程。     

一种提高单片机内嵌式A/D分辨力的方法

单片机内嵌式Ａ／Ｄ的使用要比外置式Ａ／Ｄ简单、方便，且容易获得更高的信噪比，但其分辨力相对比较低，难以满足精密测量的使用要求。本文介绍了一种提高单片机内嵌式Ａ／Ｄ转换器分辨力有效实用法，简单外转电路和单片机内部软件计算可以将原分辨力将提高１￣３倍。     

Java SDAI Study and Implementation

为了在Internet网上共享产品数据 ,基于Java语言实现了STEP标准数据读取接口SDAI.该实现包括几个部分 :EXPRESS信息模型向Java语言的映射 ,JavaSDAI会话模式的实现和JOS Part2 1文件、JOS STEP数据库两个映射 .基于该JavaSDAI接口的STEP应用系统 ,可采用Browser Server三层体系结构 ,客户端用户通过通用的Internet网浏览器即可操作异地的STEP产品数据 ,该JavaSDAI接口既与Part 2 1文件又与关系型数据库 (SQLServer)相连接 .通过一个演示实例 ,对JavaSDAI的优、缺点进行了总结     

基于相关函数的盲信号分离准则

盲信号分离的依据通常是信号的独立性或利用它们的高阶累积量。考虑了双通道的盲分离问题，提出了一种基于相关函数的盲分离准则。证明了在源信号不相关的条件下，可以实现源信号的盲分离。并给出了一种可直接求解二次方程组的盲分离算法。     

空保专业存在的主要问题及发展对策

本文对我院空保专业开办三年来，在学风、生源、就业、设施设备、师资队伍等方面存在的主要问题进行了多角度的调查和分析，剖析了制约空保专业发展的影响因素，进一步提出相应的解决对策和建议，对推动空保专业的发展具有重要的意义。     

New track correlation algorithms in a multisensor data fusion system

In order to resolve the problem of track-to-track association in a distributed multisensor situation, this paper presents independent and dependent sequential track correlation algorithms based on Singer's and Bar-Shalom's algorithms. Based on sequential track correlation algorithm, the restricted and attenuation memory track correlation algorithms and sequential classic assignment rules are proposed. In this paper, these algorithms are described in detail. Then, the track correlation mass and multivalency processing methods are discussed as well. Finally, simulations are designed to compare the correlation performance of these algorithms with that of Singer's and Bar-Shalom's algorithms. The simulation results show that the performance of these algorithms proposed here is much better than that of the classical methods under the environments of dense targets, interfering, noise, track cross, and so on. Under the above situations, their correct correlation ratio is improved about 69 percent over the classical methods