基于TV-L1模型的多尺度遥感影像分解方法

TV—L^2模型是一种有效的遥感影像分解方法,但采用TV—L^2模型进行遥感影像分解会出现分解不彻底的情况。基于TV—L^1模型的多尺度遥感影像分解方法是一种将TV—L^1模型和多尽度方法结合起来对遥感影像进行分解的遥感影像分解方法。实验证明,基于TV—L^1模型的多尺度遥感影像分解方法继承了Tv—^L2模型利用全变分分解的优点,解决了TV—L^2模型分解不彻底的问题,并且通过尺度调节实现了多尺度分解。实验结果表明,该方法在遥感影像分解中取得了理想的效果,可以进一步地扩展应用。     

联合压缩感知与干扰白化的脉冲干扰抑制方法

针对L频段数字航空通信系统1(L-DACS1)以内嵌方式部署在航空无线电导航频段而产生的测距仪脉冲干扰(DME)正交频分复用(OFDM)接收机的问题,提出联合压缩感知与残留干扰白化的测距仪脉冲干扰抑制方法.首先接收机通过空子载波信道来观测测距仪脉冲干扰,并利用测距仪脉冲干扰在时域的稀疏特性,基于l1范数最小化约束的凸优化方法重构测距仪脉冲干扰;然后将重构的脉冲干扰转换到频域进行干扰消除;最后,接收机通过信号解交织器与逆正交变换器将残留的脉冲干扰转换为高斯白噪声,避免了残留干扰信号造成的突发性解调错误.仿真研究表明:联合干扰抑制方法可有效消除测距仪脉冲信号干扰,显著提高L-DACS1系统链路传输的可靠性.      

Chang'E-1 Lunar Mission:An Overview and Primary Science Results

Chang'E-1 is the first lunar mission in China, which was successfully launched on Oct. 24th, 2007. It was guided to crash on the Moon on March 1, 2009, at 52.36oE, 1.50oS, in the north of Mare Fecunditatis. The total mission lasted 495 days, exceeding the designed life-span about four months. 1.37 Terabytes raw data was received from Chang'E-1. It was then processed into 4 Terabytes science data at different levels. A series of science results have been achieved by analyzing and applicating these data, especially "global image of the Moon of China's first lunar exploration mission'. Four scientific goals of Chang'E-1 have been achieved. It provides abundant materials for the research of lunar sciences and cosmochemistry. Meanwhile these results will serve for China's future lunar missions.      

Generating precise and homogeneous orbits for Jason-1 and Jason-2

Driven by the GMES (Global Monitoring for Environment and Security) and GGOS (Global Geodetic Observing System) initiatives the user community has a strong demand for high-quality altimetry products. In order to derive such high-quality altimetry products, precise orbits for the altimetry satellites are a necessity. With the launch of the TOPEX/Poseidon mission in 1992 a still on-going time series of high-accuracy altimetry measurements of ocean topography started, continued by the altimetry missions Jason-1 in 2001 and Jason-2/OSTM in 2008. This paper contributes to the on-going orbit reprocessing carried out by several groups and presents the efforts of the Navigation Support Office at ESA/ESOC using its NAPEOS software for the generation of precise and homogeneous orbits referring to the same reference frame for the altimetry satellites Jason-1 and Jason-2. Data of all three tracking instruments on-board the satellites (beside the altimeter), i.e. GPS, DORIS, and SLR measurements, were used in a combined data analysis. About 7 years of Jason-1 data and more than 1 year of Jason-2 data were processed. Our processing strategy is close to the GDR-C standards. However, we estimated slightly different scaling factors for the solar radiation pressure model of 0.96 and 0.98 for Jason-1 and Jason-2, respectively. We used 30 s sampled GPS data and introduced 30 s satellite clocks stemming from ESOC’s reprocessing of the combined GPS/GLONASS IGS solution. We present the orbit determination results, focusing on the benefits of adding GPS data to the solution. The fully combined solution was found to give the best orbit results. We reach a post-fit RMS of the GPS phase observation residuals of 6 mm for Jason-1 and 7 mm for Jason-2. The DORIS post-fit residuals clearly benefit from using GPS data in addition, as the DORIS data editing improves. The DORIS observation RMS for the fully combined solution is with 3.5 mm and 3.4 mm, respectively, 0.3 mm better than for the DORIS-SLR solution. Our orbit solution agrees well with external solutions from other analysis centers, as CNES, LCA, and JPL. The orbit differences between our fully combined orbits and the CNES GDR-C orbits are of about 0.8 cm for Jason-1 and at 0.9 cm for Jason-2 in the radial direction. In the cross-track component we observe a clear improvement when adding GPS data to the POD process. The 3D-RMS of the orbit differences reveals a good orbit consistency at 2.7 cm and 2.9 cm for Jason-1 and Jason-2. Our resulting orbit series for both Jason satellites refer to the ITRF2005 reference frame and are provided in sp3 file format on our ftp server.     

螺旋桨1P力矩飞行试验研究

以桨叶1P载荷桨叶应变测量法为基础,研究了螺旋桨1P力矩,阐述了螺旋桨1P力矩计算方法步骤,给出了某型飞机的飞行试验测试结果,针对试验结果分析了螺旋桨1P力矩的影响因素、变化规律以及与飞机飞行状态的关系。     

Fe3Al基合金拉伸和蠕变性能的改进

研究了合金化对Fe3Al力学性能的影响,结果表明加入微量的Ce对提高Fe3Al基合金室温塑性非常有效果.通过X-射线光电子能谱表层分析证明了微量Ce的加入改变了氧化物的化学组成,从而使试样表面快速钝化.用W,Ni或者Mo,尤其是W与Ni或者W与Mo复合合金化可以使Fe3Al基合金的高温强度和蠕变抗力明显提高.W、Ni或者Mo的加入会明显改善合金的微观组织,它们在合金中能够形成含有W的类似M6C碳化物形式的沉淀相.     

1N ADN基推力器瞬态启动性能试验研究

为研究1N ADN基推力器的瞬态启动性能,给推力器在轨使用提供参考,通过设计推力器高空模拟热试车系列工况,研究了催化床不同预热温度、喷注压力、不同寿命阶段推力器的瞬态启动性能,获得不同条件下推力器开机加速性t90指标.结果表明1N ADN基推力器t90随预热温度的上升呈现先减小后增大的趋势;推力器喷注压力降低,t90变大;同时,研究了ADN基 推进剂地面存储时长对推力器的瞬态启动性能的影响,实验结果显示在存贮时间内,推力器t90指标保持稳定.     

利用偏移矩阵提高CBERS图像预处理几何定位精度的方法研究

偏移矩阵是指由于传感器与卫星平台之间的安装偏差而导致的传感器坐标系与卫星平台坐标系之间的旋转矩阵 ,用于校正传感器与卫星平台坐标系之间不重合而导致的成像偏差。针对CBERS卫星数据处理系统只能使用星上下传姿态和星历数据进行预处理 ,而这些姿态和星历数据也可能存在系统误差的情况 ,我们把预处理图像所有引入误差 ,包括系统安装误差、姿态和星历数据误差、地面处理模型误差等 ,综合导致的成像偏差 ,归结为一个旋转矩阵来校正 ,该旋转矩阵定义为偏移矩阵。当系统成像存在一个较大的系统误差时 ,把该偏移矩阵代入几何校正处理模型中 ,可以得到很好的校正效果。文章方法在CBERS卫星的在轨测试中得到实施并取得较好的效果 ,增加偏移矩阵校正后 ,图像预处理几何定位精度得到显著提高     

新一代机载数据采集器设计思路及应用技术探讨

KAM500采集系统设计思想先进,使用了现代计算机技术和现场可编程逻辑器件,具有各通道同步采样, 数据采集、传输与编码相对独立,数字滤波,利用LOOKUP表进行非线性补偿、调节等特点。该系统通过KSMV2软件进 行编程、管理和数据检查。     

“高分一号”卫星PMS图像几何定位精度验证

卫星影像定位精度的验证是支撑卫星业务化运行和应用的基础性工作,文章测试了“高分一号”卫星PMS相机全色（PAN）二级产品和多光谱（MSS）二级产品几何定位精度。测试结果表明,卫星PMS相机全色测试数据的平均定位精度为27.9m,其中,平原、山区测试数据最大外部几何定位精度分别为16.4m、53m;多光谱测试数据的平均几何定位精度为23.2m,其中,平原、山区测试数据平均外部几何定位精度分别为10m、49.7m。“高分一号”卫星 PMS 相机全色与多光谱二级产品的定位精度满足1？10万比例尺地形图更新要求,其中平原地区二级产品精度能满足1？5万比例尺地形图更新要求。