Substitution of satellite-based land surface temperature defective data using GSP method

Land surface temperature (LST) as an important environmental variable provides valuable information for earth environmental system modelling. Currently, LST is obtained through satellite thermal sensors at various spatial and temporal resolutions. Although spatially continuous satellite-based LST measurements are intended to overcome the shortcomings of sparse ground-based LST measurements, LST images often contain anomalous values due to the existence of clouds or sensor malfunctioning. The problem becomes more serious where the users deal with high spatial resolution characterized by low temporal resolution. This study examines the capability of a newly developed graph signal processing (GSP) method using two-dimensional single-date thermal data. For this purpose, four Landsat/TIRS datasets are analyzed. The data of five elliptical regions on thermal images are eliminated and then reconstructed through the GSP method and using the LST values of the enclosing rectangles containing the ellipsoids. The results indicate that the temperature variation determined by the GSP method generally conforms to the original image LST values. According to a correlation test conducted on the original image LST and those obtained through the GSP method, the values vary from 58% to 95%, which is an above-the-average rate (RMSE from 0.69 to 2.27). The statistical analysis of the original image LST in both the elliptical regions and the enclosing rectangles containing the ellipsoids indicates that an increase in the variance of LST data causes an increased error in the calculation of temperature by the GSP method, and vice versa. The results of the analysis of variance (ANOVA) and Duncan test indicated that an increase in the number of the non-zero spectral bins would result in increased RMSE values for all the dates and the regions. Moreover, the model errors were significant at the 0.05 level across all the image date and five elliptical study regions. Based on the results, the use of this method is recommended for the reconstruction of LST missing values, where dissimilarity of atmospheric conditions limits the use of other methods that depend on the time series data of various dates and a great deal of data calculation.     

三角面元灰度图象三维重建算法研究

三角面元SFS算法是结合三角面元模型和线性反射图来阐述SFS问题的,该算法的基本思想是用三角面元素来近似光滑表面,并用一系列基于节点的线性方程组合来表达该表面。本文在此算法的基础上,求解时通过加权平均迭代,提高了恢复的准确性和迭代的收敛速度。     

改性双基低特征信号推进剂研究进展

综述了国外改性双基低特征信号推进剂研究的最新进展，提出了改性双基推进剂实现低特征信号并提高性能的主要技术途径和性能指标，重点介绍了几种含有新型含能材料、新型燃速改良剂和新型键合剂的改性双基低特征信号推进利配方。     

含催化剂RDXCMDB推进剂燃烧机理研究

利用常压ＤＳＣ及ＴＧ／ＤＴＧ，高压ＤＳＣ，单幅照相和燃烧波温度分布测试技术对含ＲＤＸ的复合改性双基推进剂（ＲＤＸＣＭＤＢ）含和不含催化剂时的燃烧机理进行了研究，得到了该种推进剂在热分解和燃烧方面的一些重要结果。     

76°/40°双三角翼前缘涡破裂及其控制实验研究

流动显示结果表明,喷流能有效地推迟双三角翼前缘涡的破裂,且随着攻角的增大,前缘涡破裂位置逐渐推后,喷流极大地改善了大攻角情况下前缘涡的非对称破裂特性,能有效地克服可能出现的机翼的"摇滚"现象.另外,后缘喷流可以减弱乃至消除前缘涡混掺现象的发生,进而有利于飞行器的操纵.     

受轴向拉伸载荷作用的耳片强度研究

耳片是飞机结构的重要连接元件,是结构主要传力通道上的重要环节,是飞机结构强度计算和细节分析的重点部位。多年来,许多国内外学者、专家对其进行了大量试验研究工作。大量的试验表明,随着加载角度的增大,耳片的静拉伸破坏载荷降低,所以,现在在设计中,都尽量采用受轴向载荷的耳片。本文对受轴向拉伸载荷作用下的单、双耳片进行了强度分析研究,并进行了归纳总结。     

我国农村义务教育财政专项投资若干问题探析

2006年开始的农村义务教育经费保障机制改革已经在全国全面铺开,自此,我国农村义务教育财政性经费第一次真正地被纳入公共财政的框架。而在这次改革中,财政专项投资发挥了非同寻常的作用,成为财政投入的主体形式。从义务教育财政专项投资的概念、现状和特点出发,解析农村义务教育经费保障机制改革条件下财政专项投资的资金安排、运营、支付和监管等若干问题,并对专项投资的功效和创新做出理论性的初探。     

子母弹分离过程的数值模拟方法

以分区拼接网格数值模拟方法为基础，通过气动方程和弹道方程联立求解数值模拟了子弹从母弹中分离并穿越母弹激波的过程，研究了子母弹干扰流场的气动特性，分析研究了子弹各初始分离状态（如初始抛撒速度、初始姿态角、初始姿态角速度等）对分离过程的影响。     

旋翼塔信号传输系统干扰的排除方法

旋翼塔信号传输系统是旋翼塔测试系统的重要组成部分,信号传输质量是决定测试系统测试数据真实性的最重要因素。由于旋翼试验塔采用长线传输,所以必须排除信号传输系统的干扰,必须对信号传输系统进行调试,以确保试验数据的可靠和准确。