Semantic segmentation of high spatial resolution images with deep neural networks

Availability of reliable delineation of urban lands is fundamental to applications such as infrastructure management and urban planning. An accurate semantic segmentation approach can assign each pixel of remotely sensed imagery a reliable ground object class. In this paper, we propose an end-to-end deep learning architecture to perform the pixel-level understanding of high spatial resolution remote sensing images. Both local and global contextual information are considered. The local contexts are learned by the deep residual net, and the multi-scale global contexts are extracted by a pyramid pooling module. These contextual features are concatenated to predict labels for each pixel. In addition, multiple additional losses are proposed to enhance our deep learning network to optimize multi-level features from different resolution images simultaneously. Two public datasets, including Vaihingen and Potsdam datasets, are used to assess the performance of the proposed deep neural network. Comparison with the results from the published state-of-the-art algorithms demonstrates the effectiveness of our approach.     

基于CityEngine的校园三维建模

针对平面地图描述建筑物不直观、复杂且具有限制性的缺点,以CityEngine软件为平台,选取铜陵学院为研究区域,对其进行三维可视化研究。利用ArcMap软件对铜陵学院的Google影像图进行矢量化,通过Cityengine软件创建新场景,基于CGA语言建立了研究区主要建筑物、道路、运动场、绿化区的三维模型。实验结果表明,虚拟三维场景地图相较二维平面图更直观、完整,对三维城市建模具有较好的应用与参考价值。     

A novel spatial index using spatial analyses and hierarchical fuzzy expert system for obtaining green TOD: a case study in Tehran city

Sustainable development is a vital and challenging factor for managing urban growth smartly. This factor contains three main components, namely economic growth, ecological protection and social justice. Green Transit-Oriented Development (GTOD) is a consummate planning approach in line with those components. Implementation of GTOD in an urban area is underpinned by its quantification. Therefore, a quantitative spatial index based on several indicators related to TOD and Green urbanism concepts should be developed. In this study, Geo-spatial Information Science and hierarchical fuzzy inference system (HFIS) were employed to calculate the indicators and aggregate them, respectively. In order to showcase the feasibility of the proposed method, it was implemented in a case study area in the City of Tehran, Iran. The result of this method is an integrated spatial GTOD index, which measures the neighbourhoods’ GTOD levels. These measurements specify weaknesses and strengths of neighbourhoods’ factors. Therefore, this index helps decision-makers to plan neighbourhoods based on land use and public transit views. Additionally, the HFIS method helps decision-makers to consider criteria and indicators with their inherent uncertainties and aggregate them with much fewer rules. For evaluating the results, the developed GTOD index was assessed with municipal action planning and attraction maps. According to the outcomes of the assessment, it is concluded that the proposed method is adequately robust and efficient for smart and sustainable urban planning.     

武汉城市圈经济与环境协调性分析和评价研究

以用地现状、人口调查、经济统计等信息为基础,搭建了武汉城市圈生态环境分析和评价信息平台,设计了统计分析、指标评价、决策支持等模块。按照区县单元分析了武汉城市圈人口、经济与生态环境相关性和协调性,其研究结果对开展武汉城市圈“两型”社会建设具有重要意义,可为武汉城市圈的社会经济与生态环境协调发展提供科学的决策参考。     

大比例尺地理信息数据服务模式的研究

大比例尺地理信息数据由于详尽的数据内容和精准的位置信息,在城市经济社会发展中发挥着重要作用。然而由于传统的服务方式的限制,数据的使用效率并不高。地理空间框架数据结合GIS技术和网络技术,将大比例尺地理信息数据使用方式从线下转到线上,提高了数据使用效率。而本文提出的主动式地理信息服务模式是一种全新的地理信息服务模式,将大比例尺地理信息服务数据与用户业务数据深度融合,最大限度地满足用户的业务需求,将是地理信息服务模式未来的发展方向。     

辽宁省基础地理信息数据库系统关键模块的优化

随着数字中国地理空间框架建设的加速推进,国家提出了对全国1∶10 000基础地理信息数据进行整合与数据库升级的要求。辽宁省响应国家号召,依托海量的测试数据,从生产实际出发,对数据库系统进行优化。本文重点阐述对数据库系统中质检功能、制图功能的优化处理以及针对新修订的数据字典系统内相应模块的升级,同时对优化过程中系统内部处理不了的问题,进行关键功能模块的补充开发。     

武宁县煤矿矿山地质灾害发育现状及防治措施

江西省武宁县煤矿多属小型矿山,但小煤矿的开采同样会引起诸多矿山地质灾害问题,如废石乱堆乱放,诱发泥石流;不规范开采,造成区域地下水位下降,引起地面沉降、塌陷和矿井冒顶、突水、瓦斯爆炸等,这些问题需要评估和解决。对上述问题进行成因分析、危害性探讨,并针对每项矿山地质灾害问题提出相应的防治措施,可使该区地质灾害得到有效的控制。     

GIS在海洋气象服务中的应用

海洋经济的发展越来越离不开海洋气象服务,随着GIS、Web服务等计算机和船舶通讯技术的发展,海洋气象服务正面临着新的机遇,以GIS为支撑的海洋气象信息库的建立变得日益现实,它的出现不仅有助于人们直观理解和分析大气海洋环境特征的分布情况,克服目前我国海洋气象服务的种种困难,而且必将有助于揭示海区气象环境的变化规律,增强目前海洋气象灾害的监测能力,提高海洋天气预报的水平。     

财政局地理信息系统的设计与实现

本文分析了当前财政局管理信息系统存在的问题,提出将地理信息系统技术、网络技术、数据库技术运用到财政管理中,建立财政局地理信息系统;文章重点研究了财政局地理信息系统的结构及功能,并结合北京市财政局地理信息系统开发实例,阐述了财政局地理信息系统的核心功能和系统实现方法。     

数字水准仪数据传输转换和管理信息系统的建立

随着市场上数字水准仪类型的增多,水准测量数据的后处理软件也呈多样化,且软件之间没有互通性,给实际工程带来诸多不便。其次,许多工程单位仍是人工数据管理模式,已不能满足现代信息化的需要。基于此,本文利用Delphi可视化开发语言、SQL Server 2000大型数据库以及SuperMap Objects图形组件开发了一套程序,使得各种典型数字水准仪的数据传输转换和水准测量数据的管理更方便、有效。此程序已经在大量的工程实践中得到应用。