基于持久化的网吧管理系统数据库设计和实现

设计了一种健壮持久层体系结构,并运用该结构,根据对象/关系数据库映射（O/R Mapping）策略,设计和实现了基于持久化的网吧管理系统数据库。这种实现数据持久化的方案在C＋＋开发环境下,具有比较重要的应用价值。     

大地电磁二维层状模型参数化反演

本文针对目前二维反演存在求解参数过多和求其偏导数困难的两个问题，在近年来关于连续介质二维大地电磁测深资料快速反演的理论基础上，对二维层状模型反演的目标函数，进行线性近似，采用加权法来近似计算二维模型参数的偏导数。从而实现比较快速的二维层状模型的参数化反演。理论模型的反演试验表明，反演迭代可以较快地以足够的精度拟合视电阻率和相位资料，并收敛接近理论模型。     

Object-based class modelling for multi-scale riparian forest habitat mapping

Object-based class modelling allows for mapping complex, hierarchical habitat systems. The riparian zone, including forests, represents such a complex ecosystem. Forests within riparian zones are biologically high productive and characterized by a rich biodiversity; thus considered of high community interest with an imperative to be protected and regularly monitored. Satellite earth observation (EO) provides tools for capturing the current state of forest habitats such as forest composition including intermixture of non-native tree species. Here we present a semi-automated object based image analysis (OBIA) approach for the mapping of riparian forests by applying class modelling of habitats based on the European Nature Information System (EUNIS) habitat classifications and the European Habitats Directive (HabDir) Annex 1. A very high resolution (VHR) WorldView-2 satellite image provided the required spatial and spectral details for a multi-scale image segmentation and rule-base composition to generate a six-level hierarchical representation of riparian forest habitats. Thereby habitats were hierarchically represented within an image object hierarchy as forest stands, stands of homogenous tree species and single trees represented by sunlit tree crowns. 522 EUNIS level 3 (EUNIS-3) habitat patches with a mean patch size (MPS) of 12,349.64 m² were modelled from 938 forest stand patches (MPS = 6868.20 m²) and 43,742 tree stand patches (MPS = 140.79 m²). The delineation quality of the modelled EUNIS-3 habitats (focal level) was quantitatively assessed to an expert-based visual interpretation showing a mean deviation of 11.71%.     

ComGIS在阿克苏地区矿产资源数据库管理系统建设中的应用

采用ComGIS技术,SuperMap二次开发平台,利用可视化开发工具C#与SuperMap Object提供的控件、工具、对象库相结合的具体开发模式,设计开发了阿克苏地区矿产资源数据库管理系统。并利用GIS实现了矿产资源数据库基础数据的建设。     

多角度偏振遥感在水体油污染监测中的优势分析

为了更好地进行水体油污染监测,首先简要介绍了多角度偏振探测技术,然后着重分析了水体油污染目标的偏振特性,同时从目标地物反射光谱的偏振探测机理出发,讨论了它们偏振光谱的空间特征,并总结出3条普适规律.结果显示:偏振光谱信息与强度辐射光谱信息相比,目标地物间反射光谱的微小差异得到了增强,且在大角度入射时,增强效果更为明显....     

基于目标分割和景观格局特征的城市土地利用分类

根据相同土地利用类型景观格局特征相似的原理,在传统遥感分类方法的基础上,结合景观生态学理论,建立了土地利用分类新方法; 应用SPOT遥感图像提取了北京市五环内的居民用地和非居民用地类型,总分类精度达到了85.9%,Kappa系数为71.1%.本研究结合学科交叉的优势,为遥感技术应用和土地利用信息提取提供了新思路.     

面向对象的空间数据采集

本文主要介绍在Turbo C++支撑下,用面向对象的方法,对地图的空间数据进行采集、分类、编辑、净化。该系统利用C++中面向对象的概念及类的继承与地图数据的层次关系相吻合的特点,使得数据的输出能满足更多的要求,并且针对地图数据量大的特点,引入了多态和动态覆盖相结合的方法,以满足内存和速度两方面的要求。     

Satellite-based monitoring and statistics for raft and cage aquaculture in China’s offshore waters

Based on Landsat 8 remote sensing images, a combination of an unsupervised classification algorithm and artificial review was used to extract areas for Chinese offshore raft and cage aquaculture in 2018. The results of the extraction showed that China’s 2018 coastal zone raft aquaculture area comprised 194,110 ha, of which the province having the largest raft aquaculture area was Jiangsu (28.77 %), followed by Fujian (20.42 %) and Shandong (13.11 %). The cage aquaculture area covered 57,847,799 square meters, of which the provinces with the largest cage aquaculture area were Fujian (64.81 %), Guangdong (17.45 %), and Liaoning (5.63 %). In addition, by combining high-resolution remote sensing image visual interpretation and field investigation, the classification of 1200 sample points in four regions was determined, and the accuracy of the aquaculture area extraction was found to be 87.35 %. The extraction results can be used not only to evaluate China’s aquaculture production but also offer significant reference value for scientific planning related to sea use, ecological environmental protection, and marine disaster prevention and mitigation.     

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.     

用线特征摄影测量对目标体素进行量测和重建的可行性研究

本文利用线特征摄影测量方法对ＣＡＤ实体造型中体素进行自动量测与重建、借此建立ＣＡＤ与数字摄影测量的桥梁，文中提出了一种以描述体素几何元素为未知数，直接在像片线特征与物体表面之间进行匹配的线特征摄影测量模型和方法，并对其可行性进行了实验，实验结果表明：线特征摄影测量能达到立体摄影测量相同的，甚至更高的精度，从而可解决无明显目标点工点物体的自动量测。