干涉合成孔径雷达（INSAR）复图像配准方法

合成孔径雷达干涉测量技术是使用图像中的相位信息来提取高精度的数字地面高程模型。精确的图像配准是合成孔径雷达干涉技术提取数字高程模型的关键步骤之一，配准质量将直接影响提取的地面高程的精度。配准按照其精度分为粗配准和精配准。文中采用基于幅度互相关函数法完成图像的粗配准。在粗配准的基础上，使用最小二乘配准算法进一步提高配准的精度。实际数据处理表明，配准精度能够满足INSAR数据处理的要求。     

滇黔桂盆地及其邻区石炭纪至二叠纪层序地层格架及三级海平面变化的全球对比

属于被动大陆边缘裂谷盆地的滇黔桂盆地，自加里东运动之后，泥盆纪开始拉开，整个晚古生代延续发展。受同生断裂的控制，在深水盆地中发育大小不等的孤立碳酸盐台地，因而在滇黔桂盆地及其邻区形成特殊的“台-盆-丘-槽”的古地理格局。对不同古地理背景下的典型剖面进行三级层序划分并对其进行空间追索和对比，在滇黔桂盆地及其邻区的石炭纪和二叠纪地层中可以识别出12个三级层序，相当于晚古生代25个三级沉积层序(2-5Ma；SQ1至SQ25)中的SQ24至SQ25；以地层记录中的的两种相变面和两种穿时性为基本要素，可以建立研究区石炭系和二叠系的层序地层格架；层序地层格架反映了三级层序的基本特征：空间上相序的有序性和时间上环境变化的同步性。研究区的石炭系和二叠系，主要为一套碳酸盐岩地层，其中在连陆台地上发育3套煤系地层，它们分别组成石炭纪三级层序SQ15跨系的三级层序SQ19的HST以及二叠纪吴家坪期的三级层序SQ24；而且在连陆台地边缘和孤立台地上，于阳新世的茅口亚世以及乐平世的长兴期发育海绵生物礁，海绵生物礁分别构成了以下二叠系三级层序即阳新世的SQ22和SQ23以及长兴期的SQ25。3套煤系地层和两套海绵生物礁的发育，使研究区的石炭系和二叠系形成了一个与欧美地区完全不同的层序地层序列。在研究区石炭系和二叠系所识别出的12个三级层序中，石炭纪一二叠纪船山世地层可以划分出6个三级层序。这种划分与Busch等对北美相同层位的划分相似，也就是说该6个三级层序的形成时限大于10Ma；较长的形成时限可能反映了形成在联合古陆汇聚时期即全球构造相对稳定时期三级海平面变化的一个特性。因此，研究区的石炭系和二叠系所识别和划分出的12个三级层序，其数量比Ross和Ross(1985)对欧美地区石炭系和二叠系所划分出的50多个三级层序要少得多。     

粗差发现和定位能力与相关系数的关系

根据粗差判断方程中的判断矩阵和两个统计检验量之间相关系数的函数式,论证了两种不同的研究方法所确定的粗差不能定位的数学模型实际上是相等的。通过算例,不仅说明两种研究方法对观测量不能定位粗差的判断是一致的,而且使用判断矩阵研究观测量的粗差发现和定位能力会更加方便简单。     

基于DMN的高光谱图像分割方法研究

简述高光谱遥感光谱特征体系(包括光谱曲线特征、光谱变换特征和光谱度量特征3个层面)。研究马尔科夫网的概念和方法,生成基于光谱角(SA)特征度量的DMN,并以DMN为证据对高光谱图像进行分割;研究和实验表明基于SA信息的马尔科夫网可以很好地综合高光谱数据空间特征与光谱特征间的关系,为进一步数据处理提供优化控制(其实质是概率神经网络)。最后提出未来应用和研究方向。     

华北地层大区寒武纪早期地层统一划分与对比问题

基于华北地层大区数百条寒武纪早期地层剖面与安徽淮南地区基准层序(2组2亚组15段1个亚段)和带序(6个三叶虫带)的确切对比,编制了新的沉积分区图;依据有无猴家山组和馒头组下亚组是否完整,划分出5个沉积区;讨论了各区与基准层序-带序的对比;明确了各地方性岩石地层单位(五山组、李官组、碱厂组、辛集组、朱砂洞组、苏峪口组、五道淌组、昌平组、府君山组、老庄户组、水洞组、黑沟组等)的层位归属(具体至段),确认与寒武纪早期地层有关的3个沉积间断(皖北上升、豫陕上升和燕辽上升),归属于重新厘定的蓟县运动的3个期次.     

Neoproterozoic to Early Cambrian history of an active plate margin in the Teplá–Barrandian unit—a correlation of U–Pb isotopic-dilution-TIMS ages (Bohemia, Czech Republic)

The Teplá–Barrandian unit (TBU) of the Bohemian Massif shared a common geological history throughout the Neoproterozoic and Cambrian with the Avalonian–Cadomian terranes. The Neoproterozoic evolution of an active plate margin in the Teplá–Barrandian is similar to Avalonian rocks in Newfoundland, whereas the Cambrian transtension and related calc-alkaline plutons are reminiscent of the Cadomian Ossa–Morena Zone and the Armorican Massif in western Europe. The Neoproterozoic evolution of the Teplá–Barrandian unit fits well with that of the Lausitz area (Saxothuringian unit), but is significantly distinct from the history of the Moravo–Silesian unit.The oldest volcanic activity in the Bohemian Massif is dated at 609+17/−19 Ma (U–Pb upper intercept). Subduction-related volcanic rocks have been dated from 585±7 to 568±3 Ma (lower intercept, rhyolite boulders), which pre-dates the age of sedimentation of the Cadomian flysch ( t chovice Group). Accretion, uplift and erosion of the volcanic arc is documented by the Neoproterozoic Dob í conglomerate of the upper part of the flysch. The intrusion age of 541+7/−8 Ma from the Zgorzelec granodiorite is interpreted as a minimum age of the Neoproterozoic sequence. The Neoproterozoic crust was tilted and subsequently early Cambrian intrusions dated at 522±2 Ma (T ovice granite), 524±3 Ma (V epadly granodiorite), 523±3 Ma (Smr ovice tonalite), 523±1 Ma (Smr ovice gabbro) and 524±0.8 Ma (Orlovice gabbro) were emplaced into transtensive shear zones.     

Bedrock structure in Adapazari, Turkey—a possible cause of severe damage by the 1999 Kociaeli earthquake

The 1999 Kocaeli earthquake brought serious damage to downtown of Adapazari. To study why strong motions were generated at the town, a bedrock structure was investigated on the basis of Bouguer gravity anomaly, and SPAC and H/V analyses of microseisms. It was revealed that, the basin consists of three narrow depressions of bedrock with very steep edges, extending in E–W or NE–SW directions along the North Anatolia faults, and the depth to bedrock reaches 1000 m or more. Downtown of Adapazari is located 1–2 km apart from the basin-edge. It is considered that, the specific configuration of bedrock amplifies ground motions at the downtown area by focusing of seismic waves and/or interference between incident S-waves and surface-waves secondarily generated at the basin-edge. Studying 3D bedrock structure is an urgent issue for microzoning an urban area in a sedimentary basin.     

Total N,total P and organic matters content in floodplain soils of Xianghai Nature Reserve

Soil sediment samples of 10 layers with a spacing of 10 cm each were collected in different floodplain zones adjacent to Huolin River in the Xianghai Nature Reserve, and contents of total N, total P and organic matters were analyzed. The results showed that contents of total N, total P and organic matters were generally decreasing with the increase of distance from sample locations to the river channel, and contents of the three items were generally higher in the upper soil layer than that in the lower soil layer. The content variations displayed how flooding functions influenced nutrient matter content variations in floodplain soils since the flood inundation frequencies of the sample locations varied. The correlation analysis displayed that there were remarkable relativities between total N, total P and organic matters within definite spatial distance from the Huolin River channel.     

Size Scaling of Cross Correlation Between Multiple Variables

Reservoir models have large uncertainty because of spatial variability and limited sample data. The ultimate aim is to use simultaneously all available data sources to reduce uncertainty and provide reliable reservoir models for resource assessment and flow simulation. Seismic impedance or some other attribute provides a key source of data for reservoir modeling. These seismic data are at a coarser scale than the hard well data and it not an exact measurement of facies proportions or porosity. A requirement for data integration is the cross-covariance between the well and seismic data.The size-scaling behavior of the cross correlation for different measurement scales was nvestigated. The size-scaling relationship is derived theoretically and validated by numerical studies (including an example with real data). The limit properties of the cross-correlation coefficient when the averaging volume becomes large is shown. After some averaging volume, the volume-dependent cross-correlation coefficient reaches a limit value. This plateau value is controlled mainly by the large-scale behavior of the cross and direct variograms.The cross correlation can increase or decrease with volume support depending on the relative importance of long- and short-scale covariance structures. If the direct and cross variograms are proportional, there is no change in the cross correlation as the averaging volume changes. Our study shows that the volume-dependent cross-correlation coefficient is sensitive to the shape of the cross variogram and differences between the direct variograms of the well data and seismic data.