一种改进的模糊聚类算法在图像边缘检测中的应用

提出了一种改进的模糊聚类图像边缘快速检测算法,该算法在利用像素灰度值的同时还考虑了像素的空间信息,基于模糊集合理论将图像从灰度空间映射成一个模糊隶属度矩阵,然后将隶属度矩阵中的元素作为样本进行模糊聚类,从而提取出图像边缘。基于热力学原理选取隶属度函数,通过调节温度系数,实现图像边缘由粗到细的提取。实验证明,该方法在计算速度、滤除噪声、提取边缘等方面均优于C-均值聚类算法。     

Modeling and analysis of Earth’s gravity field measurement performance by inner-formation flying system

The Earth’s gravity field can be measured with high precision by constructing the purely gravitational orbit of the inner-satellite in Inner-formation Flying System (IFS), which is independently proposed by Chinese scholars and offers a new way to carry out gravity field measurement by satellite without accelerometers. In IFS, for the purpose of quickly evaluating the highest degree of recovered gravity field model and geoid error as well as analyzing the influence of system parameters on gravity field measurement, an analytical formula was established by spectral analysis method. The formula can reflect the analytical relationship between gravity field measurement performance and system parameters such as orbit altitude, the inner-satellite orbit determination error, the inner-satellite residual disturbances, data sampling interval and total measurement time. This analytical formula was then corrected by four factors introduced from numerical simulation of IFS gravity field measurement. By comparing computation results from corrected analytical formula and the actual gravity field measurement performance by CHAMP, the correctness and rationality of this analytical formula were verified. Based on this analytical formula, the influences of system parameters on IFS gravity field measurement were analyzed. It is known that gravity field measurement performance is a monotone decreasing function of orbit altitude, the inner-satellite orbit determination error, the inner-satellite residual disturbances, data sampling interval and the reciprocal of total measurement time. There is a match relationship between the inner-satellite orbit determination error and residual disturbances, in other words, the change rate of gravity field measurement performance with one of them is seriously restricted by their relative size. The analytical formula can be used to quantitatively evaluate gravity field measurement performance fast and design IFS parameters optimally. It is noted that the analytical formula and corresponding conclusions are applied to any gravity satellite which measures gravity field by satellite perturbation orbit.     

主星带辅星的分布式SAR二次干涉动目标检测方法

设计了一种以满足GMTI功能为主同时兼顾InSAR功能，由1颗主星和4颗辅星组成的双椭圆绕飞被动稳定编队构型，利用绕飞编队的对称星消除垂直轨迹基线从而获得虚拟的单纯沿航迹基线。提出了对称星二次干涉处理方法，将杂波对消与沿航迹干涉（ATU技术结合起来，在杂波对消后进行动目标检测，并指导在检测到动目标存在的区域进行二次干涉，降低了虚警率，提高了检测精度；同时利用长基线获得较小的最小可检测速度，二次干涉提供的参差基线解速度模糊提高了最大不模糊速度，从而增大了速度可检测范围。计算机仿真结果表明该方法即使在地面场景高程有较大起伏时也能有效进行动目标检测并进行精确测速和定位。     

铝盐絮凝剂复配含磁絮体形成的最佳参数及性能研究

本文系统研究了铝盐及有机高分子絮凝剂与磁粉在高浊度原水中复合投加的絮凝效果和含磁絮体形成的最佳参数，并通过比较处理效果，出水沉降时间和含磁絮体的显微结构，验证了本絮凝方法处理高浊度原水效果更好，停留时间更短的预估，且絮体含磁易分离，为管式絮凝器采用磁絮凝和高梯度磁分离工艺提供了参数依据和高效絮凝分离一体化、管道化的可行性证明。     

一种遥测缓变参数自动判读的新方法

针对遥测参数中缓变参数的自动判读问题，提出一种基于历史数据统计特性的遥测缓变参数自动判读新方法。首先，设计了一种以参数目标数据时标为基准的时间间隔递推算法和线性插值方法，使历史数据与目标数据的时标得到有效统一。其次，基于方向和距离函数构造了双因子等价权函数，并利用抗差最小二乘估计算法得到了参数的估值和标准差。最后，根据参数的估值和标准差对目标数据进行统计分析，依据目标数据的概率分布判断参数是否存在异常，进而实现参数的自动判读。仿真校验结果表明，该方法能有效辨识缓变参数中的异常参数，且具有较强的抑制随机噪声和抗差自适应能力。与传统以人工为主的判读方式相比，该方法能有效提高遥测参数判读的效率和准确性。     

CCD遥感相机信号处理电路降噪方法

针对中国遥感高分辨率传输型相机的发展趋势，提出了一些降低信号处理电路噪声的方法；从信号完整性理论出发，利用电子设计自动化（EDA）工具Cadence软件进行了仿真与验证，并经实际电路测试验证取得了良好的效果。     

用输入数据符号加权减小MSK信号的带外功率

由于最小频移键控信号具有较为理想的功率谱特性，近年来已得到广泛关注，但在某些场拾它的带外能量泄漏不能满足实际需要。在此情况下可以对输入数据符号进行加权处理，从而得到一类ＭＳＫ信号这类ＭＳＫ信号仍为等幅波，相位仍保持连续。本文给出了这类信号功率谱的计算公式以及加权函数和功率谱的关系，并给出实例。     

雷达中的分布式计算机系统

通过对雷达中信息流的分析研究，提出雷达中的分布式计算机系统可由分布式的管理系统和分布式的数据处理系统两者综合而成这一设计思路。其中，两极层次结构的分布式管理系统适用于要求集中监控的雷达管理，而滑窗－流水作业的分布式数据处理系统能适应对多批目标的实时处理。     

液流变加工技术的探索性研究

研究利用纳米SiC悬浊液作为对光学玻璃K9超光滑加工的载体,配制了适合液流变纳米加工,具有较好分散性和稳定性的纳米SiC颗粒悬浊液,研究了液流变纳米加工的机理,并用该悬浊液对光学玻璃K9进行试验加工,结果显示,最终得到的光学玻璃K9表面经过AFM测试,得到Ra=0.84nm。     

Solar terrestrial effects of two distinct types

The occurrence frequencies or fluxes of most of the solar phenomena show a 11-year cycle like that of sunspots. However, the average characteristics of these phenomena may not show a 11-year cycle. Among the terrestrial parameters, some related directly to the occurrence frequencies of solar phenomena (for example, ionospheric number densities related to solar EUV fluxes which show 11-year cycle like sunspots) show 11-year cycles, including the double-peak structures near sunspot maxima. Other terrestrial parameters related to average characteristics may not show 11-year sunspot cycles. For example, long-term geomagnetic activity (Ap or Dst indices) is related to the average interplanetary solar wind speed V and the total magnetic field B. The average values of V depend not on the occurrence frequency of ICMEs and/or CIRs as such, but on the relative proportion of slow and high-speed events in them. Hence, V values (and Ap values) in any year could be low, normal or high irrespective of the phase of the 11-year cycle, except that during sunspot minimum, V (and Ap) values are also low. However, 2–3 years after the solar minimum (well before sunspot maximum), V values increase, oscillate near a high level for several years, and may even increase further during the declining phase of sunspot activity, due to increased influence of high-speed CIRs (corotating interplanetary regions). Thus, Ap would have no fixed relationship with sunspot activity. If some terrestrial parameter shows a 11-year cycle, chances are that the solar connection is through the occurrence frequencies (and not average characteristics) of some solar parameter.