Spatial variability of flow parameters in a stratified sand

The spatial variability in porosity, hydraulic conductivity, compressibility, and various grain size fractions is analyzed for several sets of samples from the Quadra Sand. This unit is a well-sorted, medium grained, horizontally stratified sand with relatively few silt or gravel interbeds. Both random and uniformly spaced sample plans are used. The heterogeneity of the flow parameters is characterized by frequency histograms and their estimated moments, by their sample autocorrelation functions, and the estimated power spectra. Emphasis is placed on the nature of the spatial dependence between neighboring values of the flow parameters. A nearest neighbor stochastic process model is fit to the data to consider its adequacy in describing the spatial dependence within the porosity and hydraulic conductivity sequences. Even though the Quadra Sand is relatively uniform, a fairly complex spatial structure is observed. A simple monotonically decaying autocorrelation function may not adequately represent the spatial continuity. Statistical anisotropy is observed in both the extent of the spatial autocorrelation and in its functional form. Results show the importance of scale in constructing a probability model to describe the spatial variability.     

中巴地球资源一号卫星CCD图像色差自动消除方法研究

 采用CBERS-02星CCD数据，提出一种基于统计的最邻近法，该方法能自动消除中巴地球资源一号卫星CCD图像上的色差，不 仅能取代传统的手工方法，而且可大幅度提高CBERS-02星CCD预处理系统的生产能力，为中巴地球资源一号卫星数据的广泛应用奠 定基础。     

铁尖晶橄榄石的穆斯堡尔谱研究

本文使用穆斯堡尔效应研究了在高温高压下合成的铁橄榄石和铁尖晶橄榄石。２９８Ｋ温度下铁橄榄石的穆斯堡尔谱由一组双峰组成，它被指派给Ｆｅ＾２＋（Ｍ１，Ｍ２）离子。２９８Ｋ温度下铁尖晶橄榄石的穆斯堡尔谱由三组双峰组成，其中两组双峰指派给八面体位置Ｂ上的Ｆｅ＾２＋，另一组双峰归为四面体位置Ａ上的Ｆｅ＾３＋，两组Ｆｅ＾２＋双峰的同质异能迁移近似相等而四极分裂不同，Ｓｉ原子在八面体位置上的占有率为６％～１０％     

基于改进DBSCAN算法的ICESat-2海面点数据去噪处理及精度评估

ICESat-2卫星搭载先进的光子计数式激光雷达ATLAS,使用全新的测量方式获取海量的光子点云数据.光子计数激光点云由于受海洋表面噪声以及水中穿透性较强等因素影响,现有的去噪算法在浅海区域海面去噪上存在一定的局限性.针对上述问题,本文提出了一种基于改进DBSCAN参数的去噪算法,通过利用点云数据集自身分布特性生成候选...     

多种特征信息在高分辨率遥感影像目标识别中的应用研究

以Quickbird影像为研究对象,探讨了利用多种特征信息识别地物目标的技术方法.首先采用区域生长法将影像分割为若干个具有语义信息的对象,然后在此基础上提取对象的光谱、形状和纹理特征并进行描述,最后根据提取的特征参数,采用最近邻方法将影像分为建筑物、公路、铁路、水塘、耕地、林地和荒地7类地物目标,综合分类精度达到91.03%.研究表明,多种特征信息的综合利用,在目标分类与识别方面明显优于传统的基于单一光谱特征的方法,在一定程度内提升了遥感信息的智能化水平.