基于光谱和纹理的SVM矿化蚀变信息提取研究

针对传统矿化信息提取方法单一,利用光谱或纹理、信息量相对较少、需要大量样本的缺陷,利用基于光谱和纹理的支持向量机(SVM)原理,建立矿化信息提取模型.选择青海泽库县析界日地区作为典型研究区.首先提取研究区光谱和纹理信息,选取训练样本;然后求解最优超平面,进而确定决策函数;最后泛化推广识别其他待识别的样本.通过所提取的遥感蚀变异常信息与重砂异常点叠加分析,叠加基本吻合;从野外实地验证来看,均发现了不同程度的矿化现象,并指出了5个重点异常区.     

神木北部矿区5-2煤层厚度及其底板高程趋势分析

为了查清神木北部矿区5-2煤层赋存特征及成因,选取了该矿区172个典型钻孔数据,用趋势分析法研究了5-2煤层的厚度及其底板高程度变化特征。结果显示:该区煤层厚度总体为南北厚中部薄,东厚西薄;底板高程为南北高中部低,东高西低;煤层厚度和其底板高程间普遍存在正相关关系。在该区构造稳定的背景下,后期改造对煤层厚度及其底板的影响很小,煤层赋存特征主要受沉积与剥蚀的控制。     

GPS observations of the ionospheric F2-layer behavior during the 20th November 2003 geomagnetic storm over South Korea

The ionospheric F2-layer peak density (NmF2) and its height (hmF2) are of great influence on the shape of the ionospheric electron density profile Ne (h) and may be indicative of other physical processes within the ionosphere, especially those due to geomagnetic storms. Such parameters are often estimated using models such as the semiempirical international reference ionosphere (IRI) models or are measured using moderately priced to expensive instrumentation, such as ionosondes or incoherent scatter radars. Global positioning system (GPS) observations have become a powerful tool for mapping high-resolution ionospheric structures, which can be used to study the ionospheric response to geomagnetic storms. In this paper, we describe how 3-D ionospheric electron density profiles were produced from data of the dense permanent Korean GPS network using the tomography reconstruction technique. These profiles are verified by independent ionosonde data. The responses of GPS-derived parameters at the ionospheric F2-layer to the 20th November 2003 geomagnetic storm over South Korea are investigated. A fairly large increase in the electron density at the F2-layer peak (the NmF2) (positive storm) has been observed during this storm, which is accompanied by a significant uplift in the height of the F2 layer peak (the hmF2). This is confirmed by independent ionosonde observations. We suggest that the F2-layer peak height uplift and NmF2 increase are mainly associated with a strong eastward electric field, and are not associated with the increase of the O/N₂ ratio obtained from the GUVI instruments aboard the TIMED satellite. It is also inferred that the increase in NmF2 is not caused by the changes in neutral composition, but is related to other nonchemical effects, such as dynamical changes of vertical ion motions induced by winds and E × B drifts, tides and waves in the mesosphere/lower thermosphere region, which can be dynamically coupled upward to generate ionospheric perturbations and oscillations.     

A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis

Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis.     

多道瑞利波在矿井独头巷道超前探中的应用

瑞利波超前探测作为一种新的矿井地球物理探测方法,具有简便、快速、经济、分辨率高、适用场地小、应用范围广等优点。介绍了瑞利波探测技术原理,并将其用于煤矿井下独头巷道大距离超前探测中。实例表明,探测距离达80 m以上,条件允许时可达100 m以上。     

非量测数码相机（哈苏H1D型）在南极项目生产中的应用

简要分析了非量测数码相机哈苏H1D在南极中山站及拉斯曼丘陵地区所获取的影像数据的几何精度,阐明了利用该影像数据进行空中三角测量,DLG,DOM制作的技术流程及作业过程中出现问题的处理方法。     

二三维联动的虚拟校园设计与实现

传统的2维地理信息系统技术成熟但缺乏3维可视化和分析的能力,而目前的3维地理信息系统发展可拥有3维可视化分析能力,然而还缺少2维地理信息系统的便捷。以二三维联动为开发思路的地理信息系统能够解决这对矛盾。本文基于二三维联动GIS的设计方案,以虚拟校园设计与实现为应用实例,利用ArcEngine（AE）实现二三维联动GIS系统的开发设计,对GIS系统的开发做出了一种新的、有益的尝试。     

红枫湖夏季分层期间pCO2分布规律的研究

在夏季分层期间对红枫湖南、北湖湖心的水样进行分层采集,同时测定了分层水样的温度、pH、HCO₃-浓度、溶解氧(DO)、叶绿素a(Chl-a)及铵根离子(NH₄+)、硝酸根离子(NO₃-)、磷酸根离子(PO₄3-)的浓度,水体中CO₂的分压(pCO₂)由化学平衡及亨利定律求得。研究结果表明:光合作用、有机质降解及水体热分层是影响红枫湖夏季pCO₂分布的主要因素。其中,温水层CO₂欠饱和是光合作用吸收CO₂引起的,温跃层中pCO₂的急剧增加是光合产物降解产生CO₂引起的。静水层沉积物附近pCO₂最高并且还有持续增加的趋势,说明沉积物中有机质降解是静水层中CO₂增加的主要原因,夏季湖底水温较高加快了沉积物中有机质的降解。分层现象使pCO₂在水体中的分布差别明显,并且使静水层中CO₂得到积累。此外,夏季红枫湖水体中pCO₂的变化与NH₄+、PO₄3-的变化密不可分,表现为温水层中光合作用消耗NH₄+、PO₄3-,有机质降解过程伴随NH₄+、PO₄3-的释放。     

山西省太谷县地质灾害及防治

太谷县地质构造条件复杂,地质灾害破坏严重,随着地区的经济发展,其城镇建设与地质灾害之间的矛盾日益突出。调查显示,太谷县发育地质灾害92处,区内地裂缝占灾害点总数46．7％,主要发育于平原区;不稳定斜坡占灾害点总数32．6％,滑坡占灾害点总数12．0％,且80％为土质滑坡;泥石流以沟谷型为主,占灾害点总数5．4％;崩塌占灾害点总数3．3％。论文研究了区内地质灾害的基本发育特征及其诱发因素。依据地质灾害防治评估划分原则,对不同类型地质灾害按轻、重、缓、急进行分期防治,对重要地质灾害采取具有针对性的工程措施治理。结合地质灾害调查分析,提出了建立群测群防网络、因地制宜、因灾设防等防治对策,为增加防灾减灾效益、环境效益及经济效益提供有力的保证。     

土壤吸湿-湿过程中水力传导度的拟合研究

非饱和含水介质在吸湿和脱湿的不同过程中,水力传导度随介质含水率的变化规律是不同的。本文选取大沽河流域两种代表性砂土,对其吸湿-脱湿两个过程分别进行试验观测,并使用VanGenuchten—Mualem模型对其吸湿-脱湿过程进行水力传导度的拟合。研究结果表明：砂土在吸湿过程的非饱和水力传导度与脱湿过程的非饱和水力传导度大小并不相同,在含水率相同的情况下,吸湿过程的水力传导度要比脱湿过程大,在含水率较低时（小于15％）相差可达1个数量级。