“美丽中国”的美学价值与思想内涵

＂美丽中国＂作为一个新的时代名词,赋予了丰富的政治、经济、文化与社会内涵,站在人文主义的角度,解析它的美学价值与思想内涵,进而更好认识＂美丽中国＂的历史意义和时代主旨。     

Monitoring of rice cropping intensity in the upper Mekong Delta,Vietnam using time-series MODIS data

Information on rice growing areas is important for policymakers to devise agricultural plans. This research explores the monitoring of rice cropping intensity in the upper Mekong Delta, Vietnam (from 2001 to 2007) using time-series MODIS NDVI 250-m data. Data processing includes three steps: (1) noise is filtered from the time-series NDVI data using empirical mode decomposition (EMD); (2) endmembers are extracted from the filtered time-series data and trained in a linear mixture model (LMM) for classification of rice cropping systems; and (3) classification results are verified by comparing them with the ground-truth and statistical data. The results indicate that EMD is a good filter for noise removal from the time-series data. The classification results confirm the validity of LMM, giving an overall accuracy of 90.1% and a Kappa coefficient of 0.7. The lowest producer and user accuracies were associated with single crop rain-fed rice class due to the mixed pixel problems. A strong yearly correlation at the district level was revealed in the MODIS-derived areas (R² ? 0.9). Investigation of interannual changes in rice cropping intensity from 2001 to 2007 showed a remarkable conversion from double to triple crop irrigated rice from 2001 to 2003, especially in the Thoai Son and Phu Tan districts. A big conversion from triple crop rice back to double crop rice cultivation was also observed in Phu Tan from 2005 to 2006. These changes were verified by visual interpretation of Landsat images and examination of NDVI profiles.     

Space object material identification method of hyperspectral imaging based on Tucker decomposition

Space object material identification method based on Tucker decomposition is proposed and demonstrated experimentally. Space target generally has a low spatial resolution because of the limitation in detection distance. Hyperspectral imaging (HSI) technology can capture the image from visible light to shortwave infrared continuously while providing the spatial and spectral information of the target, thereby introducing a new space target detection and identification approach. However, the data obtained by the HSI system often contain mixed pixels, thereby causing difficulties in target material identification. In this work, a material identification method of hyperspectral data based on Tucker decomposition is proposed by combining mixed spectral theory with tensor decomposition. The feasibility of the method is verified by using satellite model hyperspectral data with different spatial resolutions compared with the endmember obtained from the non-negative matrix decomposition (NMF), independent component analysis (ICA), tensor singular value decomposition (t-SVD). The average CORR of NMF, ICA, t-SVD and the proposed method is 0.2694, 0.5818, 0.6397 and 0.937, correspondingly. Therefore, the proposed method has demonstrated a more remarkable performance in terms of material identification, the analysis results of the material abundance distribution that used the proposed method.     

一种新型的用于深空高动态微弱信号载波跟踪环

分析了深空通信中高动态微弱信号载波跟踪方法，提出并分析了载波跟踪中状态方程非线性与量测方程的非线性取舍问题，分析了滤波过程中影响高动态与低信噪比的决定因素，给出了两个推论，提出了强跟踪算法的必要性。并以此选择了以传统卡尔曼滤波（KF）为基础，以锁相环（FLL）、无迹卡尔曼滤波（UKF）为辅助使用两种工作模式来应对不同环境。针对组合跟踪环路状态转换过渡易出现的频率阶跃问题，给出新型环路的工作模式及切换门限的数学表达式，在环路中添加计算判别器，实时控制环路输出的同时不浪费计算力地剔除了野值，提高了环路稳定性。仿真表明，该新型环路算法与现有的算法相比有很好的低信噪高动态适应能力，消除了切换峰值，剔除了野值。     

基于希尔伯特-黄变换的雷达数据误差修正处理技术

由于雷达跟踪测量数据总存在误差,而目前采用的误差处理算法修正效果并不理想,为了有效估计数据中的未知误差,提高数据处理的精度,提出了一种基于希尔伯特-黄算法的雷达误差残差诊断方法,利用得到的内蕴模态函数拟合出误差残差的特征,准确分离出设备的误差信息。通过对某雷达的实测数据分析证明该方法较其他方法对解决该类问题更为有效,且在事后高精度数据处理中具有较好的实用性。     

基于正交分解法的非平稳随机振动响应计算

为高效地获得非平稳随机振动响应的高精度结果,对过滤白噪声非平稳激励信号用精确积分法获得了 K L 分解的精确向量,并对其进行了分析。单自由度和多自由度仿真结果表明, 用较少量的K\|L向量即可满足精度的要求,尤其对峰值的把握较准确。在二自由度的非线性杜芬剪切系统中利用基于能量的等价线性化方法与正交展开方法进行迭代计算并与蒙特卡洛方法进行比较,仿真结果验证了方法的精确性。     

大型伞绳帆和抽打现象连续模型及验证

文章主要推导了可用于描述大型降落伞绳帆和抽打现象的一般绳索三维动力学连续模型,及弦坐标系下可用于求解绳帆现象的两点边值问题(BVP)模型,并采用某型号大型降落伞的空投录像和杆件算例对模型进行验证对比,说明了模型的正确性,采用这一连续模型能够更直观地对大型伞的绳帆和抽打现象进行定性和定量分析。     

低热值气体燃料燃烧室数值模拟与试验研究

以某型航空发动机燃烧室为研究对象,对低热值燃料燃烧室进行了数值模拟和试验研究。采用RNGk-ε模型、小火焰紊流燃烧模型和P-1辐射模型,预估了紊流特性、化学反应速率和辐射通量;应用SIMPLE算法,对离散方程进行求解。计算结果与试验数据比较表明二者基本吻合,这说明计算方法合理,可用来估算低热值燃料燃烧室的燃烧性能。     

利用极值分布概型预测海峡地区风环境期望风速

根据《公路桥梁抗风设计规范》,对于特别重要的桥梁要求对桥址处的设计基本风速进行重新观测或参考实测风速样本进行推算得到,选取合理的基本设计风速.本文选取厦门一漳州跨海大桥附近的厦门市专业气象台和龙海市气象局360个月的极值10分钟平均时距的风速和风向标准值,采用3种极值分布概型推算出不同重现期内的设计风速.得出了厦门海峡桥址处100年一遇的期望风速为35.8 m/s,小于规范给出的厦门地区100年一遇基本设计风速39.7m/s.     

基于Pauli基分解的极化校准算法

极化校准是现代雷达精确获取目标极化散射特性的前提和基础。为解决某全极化雷达的校准问题,提出一种基于Pauli基分解的极化校准算法,给出了算法的正交条件和相关推导,可选择任意满足正交条件的三个目标做为定标体。对校准算法的误差来源和误差对校准结果的影响分别进行了理论分析和仿真分析。给出了不同条件下该校准算法和其它校准算法的仿真结果,以及某全极化雷达校准试验数据分析结果。结果表明：基于Pauli基分解的极化校准算法能有效消除天线的变极化效应,可更准确地校准目标的极化散射矩阵,并可应用于大型地基极化雷达、极化合成孔径雷达以及极化相控阵雷达等的极化校准。