高斯投影公式的机助推导

随着GPS应用的普及,高斯投影在测量中出现的机会越来越多。许多文献上都给出了推导过程,这个推导过程的运算量是非常大的,而且计算精度难于提高。经过研究,一种易于编程的递推公式被发现,虽然这个公式在计算量上没有减少,但是可以较好地解决精度问题。     

大型矿集区的预测方法应用——以巴尔喀什准噶尔成矿带为例

以中亚环巴尔喀什成矿带为典型研究区域,结合地质矿产、地球物理、地球化学和信息科学等信息数据及野外调查成果,以斑岩铜矿为主要矿床类型,以中比例尺对新疆及邻区的跨境巴尔喀什.准噶尔成矿带的含矿潜力进行整体研究.分析中亚大型矿集区成矿地质条件,总结研究区斑岩铜矿成矿规律,建立多元信息综合识别标志及矿床模型.结合空间数据分析技术,以ArcGIS为平台,建立中亚跨境成矿带主、客观模型整合的大型矿集区预测系统,得出中亚成矿带矿集区预测分布图,通过理论研究到技术方法的实现,为境内寻找大型矿集区奠定基础.     

Oviraptorosaurian Eggs (Dinosauria) with Embryonic Skeletons Discovered for the First Time in China

Two elongatoolithid dinosaur eggs from the Upper Cretaceous of Ganzhou, Jiangxi Province and the embryonic skeletons they bear are described. They represent the first oviraptorosaurian eggs with embryonic skeletons in China and provide the first example that an oospecies can be correlated to certain dinosaur taxon/taxa. The two eggs are the same as the pair of the eggs inside a female oviraptorosaurian pelvis from the same horizon of the same area in both macro- and micro-structures of the egg shells, and can he referred to the oospecies, Macroolithus yaotunensis Zhao, 1975. The morphology of the preserved part of the embryonic skeletons indicates that they may have been laid by an oviraptorid, Heyuannia huangi from Guangdong Province or a closely related oviraptorosaurian, which may have been lived in the Ganzhou area too in the Late Cretaceous. The embryonic skeletons of the two eggs are not in the same developing stage. In one of the eggs, the postzygapophysis of the preserved vertebrae are well ossified, indicating that it was just hatched.     

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.     

枞阳县拔茅山矿区拔茅山-余家园-李家湾-石庄环状成矿带地质特征及找矿潜力分析

由余家园、李家湾、石庄、拔茅山铜矿带环绕皂树咀辉石粗安玢岩体与上侏罗统砖桥组火山岩系地层内外接触带附近构成未封闭的环状矿带,具面状蚀变,铜草发育,矿化多呈细脉浸染状,地表矿化普遍较强,寻找与拔茅山铜矿类似近接触带细脉浸染型带状斑岩型铜矿具一定潜力.