嫦娥一号CCD立体相机数据光度校正

为更加精确拟合相函数系数, 得到较为准确的光度校正结果, 针对嫦娥一号CCD立体相机数据的特点, 对改进的Lommel-Seeliger模型中的Lommel-Seeliger因子进行修订, 使去除太阳入射角和传感器观测角影响的遥感图像数据能够更好地契合相位角的变化; 利用加入修订后Lommel-Seeliger因子的模型对嫦娥一号CCD立体相机数据进行逐像素光度校正; 选取同一轨道不同纬度和同一区域不同视角两组数据来验证算法的有效性和适用性. 实验结果表明, 该方法能够有效校正由于几何观测条件变化而引起的目标光谱特性的不一致性, 对于较亮和较暗区域的光度校正效果更为有效.      

Mineralization of wastes of human vital activity and plants to be used in a Life Support System

Available methods for mineralizing wastes of human activity and inedible biomass of plants used in this country and abroad are divided into two types: dry mineralization at high temperatures up to 1270 K with subsequent partial dissolution of the ash and the other--wet oxidation by acids. In this case mineralization is performed at a temperature of 470-460 K and a pressure of 220-270 atmospheres in pure oxygen with the output of mineral solution and dissoluble sediments in the form of scale. The drawback of the first method is the formation of dioxins, CO, SO2, NO2 and other toxic compounds. The latter method is too sophisticated and is presently confined to bench testing. The here proposed method to mineralize the wastes is in mid-position between the thermal and physical chemical methods. At a temperature of 80-90 degrees C the mixture was exposed to a controlled electromagnetic field at normal atmospheric pressure. The method merits simplicity, reliability, produces no dissoluble sediment or emissions noxious for human and plants. The basic difference from the above said methods is to employ as an oxidizer atomic oxygen, its active forms including OH-radicals with hydrogen peroxide as the source. Hydrogen peroxide can be produced with electric power from water inside the Life Support System (LSS).     

圆形湍流射流中的Taylor假设

在一湍流射流自模区的中心线上，沿流向的温度空间相关和差分量的统计关系由两种方法获得。一是用两根平行并在流向分离的冷丝直接测量；另一方法是通过计算关于时间的相关和分（根据来自下游位置的冷线信号），以及Ｔａｙｌｏｒ假设法获得关于空间的以应量。本文对有关的时，空量，如相关系数，均方根值，偏斜和平坦因子以及谱密度函数，作了对比和讨论。可以认为，Ｔａｙｌｏｒ假庙所测量的流动中是相当合理有和有用的。     

Biosignatures from Earth-like planets around M dwarfs

Coupled one-dimensional photochemical-climate calculations have been performed for hypothetical Earth-like planets around M dwarfs. Visible/near-infrared and thermal-infrared synthetic spectra of these planets were generated to determine which biosignature gases might be observed by a future, space-based telescope. Our star sample included two observed active M dwarfs-AD Leo and GJ 643-and three quiescent model stars. The spectral distribution of these stars in the ultraviolet generates a different photochemistry on these planets. As a result, the biogenic gases CH4, N2O, and CH3Cl have substantially longer lifetimes and higher mixing ratios than on Earth, making them potentially observable by space-based telescopes. On the active M-star planets, an ozone layer similar to Earth's was developed that resulted in a spectroscopic signature comparable to the terrestrial one. The simultaneous detection of O2 (or O3) and a reduced gas in a planet's atmosphere has been suggested as strong evidence for life. Planets circling M stars may be good locations to search for such evidence.     

Microgravity research results and experiences from the NASA/MIR space station program

The Microgravity Research Program (MRP) participated aggressively in Phase 1 of the International Space Station Program using the Russian Mir Space Station. The Mir Station offered an otherwise unavailable opportunity to explore the advantages and challenges of long duration microgravity space research. Payloads with both National Aeronautics and Space Agency (NASA) and commercial backing were included as well as cooperative research with the Canadian Space Agency (CSA). From this experience, much was learned about long-duration on-orbit science utilization and developing new working relationships with our Russian partner to promote efficient planning, operations, and integration to solve complexities associated with a multiple partner program.

This paper focuses on the microgravity research conducted onboard the Mir space station. It includes the Program preparation and planning necessary to support this type of cross increment research experience; the payloads which were flown; and summaries of significant microgravity science findings.     

基于统计特征的稳健的飞机识别

给出了一种用于稳健的高距离分辨率（HRR）雷达飞机识别（ID）的基于统计特征（StaF)的分类器，HRR波形峰特征在飞行中选择，没有对特征的数目与位置作出先验假设。所抽取的特征取决于所观测的波形（使特征的数目、位置与幅度为随机变量）的信息内涵，这项研究的主要目的是通过保持对已知目标的高识别率同时又使未知目标错误最小来提高分类的稳健性。文中给出了识别结果，表明这种统计特征（StaF)分类器可以显著地降低与未知目标相关的误差，同时保持很高的正确分类概率。     

用EDF调度实时任务和GC

 在以往对垃圾搜集器（GC）的研究论文中,为了易于分析,在GC模型中人们一般都用单调比率时限调度（RM）算法来调度GC和实时任务。近年来,为保证GC调度中硬实时任务的时限,一些研究文献提出了基于时间的GC并发调度策略。通过对算法的描述及内存需求分析,提出了用最早时限优先调度（EDF）算法来调度GC和实时任务集的方法。对用EDF和RM调度任务的延迟抖动进行了比较分析,对用EDF调度GC给出了详细的分析,而且做了相应的仿真。对比结果说明,与以RM算法为基础的其他调度策略相比,基于EDF调度的系统可以调度硬实时的非周期任务,因而更具灵活性,并且在保证硬实时任务时限要求下对系统内存的需求更小,而在任务的延迟和抖动方面,事实证明EDF调度算法并不比RM调度差。     

The Urey instrument: an advanced in situ organic and oxidant detector for Mars exploration

The Urey organic and oxidant detector consists of a suite of instruments designed to search for several classes of organic molecules in the martian regolith and ascertain whether these compounds were produced by biotic or abiotic processes using chirality measurements. These experiments will also determine the chemical stability of organic molecules within the host regolith based on the presence and chemical reactivity of surface and atmospheric oxidants. Urey has been selected for the Pasteur payload on the European Space Agency's (ESA's) upcoming 2013 ExoMars rover mission. The diverse and effective capabilities of Urey make it an integral part of the payload and will help to achieve a large portion of the mission's primary scientific objective: "to search for signs of past and present life on Mars." This instrument is named in honor of Harold Urey for his seminal contributions to the fields of cosmochemistry and the origin of life.     

基于多尺度空谱特征提取的高光谱遥感图像重建

遥感高光谱图像(HSI)凭借其丰富的光谱信息被广泛地应用于军事、农业、地质等领域。然而,HSI成像因其成本高、传输难等问题限制了其应用规模。通过光谱超分辨(SSR)方法,可以实现输入高分辨率红绿蓝(RGB)图像生成相应的高光谱图像,有效地解决了HSI成本高与传输难的问题。但是,已有的SSR方法对于图像的空间特征提取与光谱之间的相关性关注仍有所不足。针对上述问题,本文提出了一种多尺度空谱特征提取方法,并在SSR领域引入组归一化(GN)方法,关注相邻光谱之间的相关性。同时,还借助条件生成对抗网络进一步优化网络的参数,提升生成图像的真实性,并在DFC2018 Houston数据集上进行实验。结果表明:本文提出的方法可以实现精准的高光谱图像重建,重建的高光谱图像相比当前先进的主流方法性能均明显提高,其中相比CanNet方法,均方根误差下降了48.3%,平均峰值信噪比上升了20.7%。