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地理空间大数据分析方法与应用
商品编号:4770830
ISBN:9787118122381
出版社:国防工业出版社
作者:付琨//孙显//许光銮//刁文辉|责编:田秀岩//王京涛//郝刚|总主编:
出版日期:2021-07-01
开本:16
装帧:暂无
中图分类:P208
页数:368
册数:1
大约重量:470(g)
购买数量:
-
+
库存:3
配送:
预计72小时发货
甲虎价: 73.1 (5.3折)
原价:¥138.00
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本书定义了地理空间大数据的概念内涵,从大数据的发展历史和概念特点讲起,描述了大数据的主要技术路线和典型应用,对应引出对地理空间大数据的理解;介绍了地理空间大数据的基础设施,从计算设备、操作系统、存储设备、文件系统等角度阐述了大数据分析的依赖支撑,并介绍了虚拟化、容器、微服务、云计算等新概念新方法;重点叙述了地理空间大数据组织关联的方法、数据清晰、标注和组织管理等内容,介绍了统一时空框架下海量多源异构地理空间数据组织管理的若干前沿技术;阐述了地理空间大数据的智能分析方法,具体介绍了如何基于通用的深度学习等智能方法,结合数据特性和任务特性开展创新,构建多任务框架用于多源数据智能解译的具体路线。
第 1 章 地理空间大数据概念内涵···································································1 1.1 大数据概念与发展现状············································································1 1.1.1 大数据的发展简史········································································1 1.1.2 大数据的定义内涵········································································3 1.1.3 大数据的特点················································································6 1.2 大数据的技术路线····················································································7 1.2.1 数据采集························································································7 1.2.2 数据清洗························································································8 1.2.3 数据标注························································································9 1.2.4 组织关联························································································9 1.2.5 数据挖掘······················································································10 1.2.6 可视化··························································································11 1.3 大数据的典型应用··················································································12 1.4 地理空间大数据的概念内涵··································································14 1.4.1 地理空间大数据的认知······························································14 1.4.2 地理空间大数据的特点······························································15 1.4.3 地理空间大数据的技术······························································15 1.4.4 地理空间大数据的应用······························································17 第 2 章 地理空间大数据基础设施·································································20 2.1 IT 基础设施·····························································································20 2.1.1 计算设备······················································································20 2.1.2 操作系统······················································································23 2.1.3 存储设备······················································································25 2.1.4 文件系统······················································································27 2.1.5 数据库··························································································28 2.1.6 网络设施······················································································31 2.2 大数据基础设施······················································································32 2.2.1 虚拟化··························································································32 VI 2.2.2 容器······························································································40 2.2.3 微服务··························································································42 2.2.4 云计算··························································································43 2.3 地理空间大数据基础设施······································································53 第 3 章 地理空间大数据组织关联·································································55 3.1 数据组织和关联······················································································55 3.1.1 数据组织关联的概念内涵··························································55 3.1.2 数据组织关联的发展历程··························································55 3.2 大数据组织和关联··················································································64 3.2.1 大数据组织关联的独特性··························································64 3.2.2 大数据组织关联的挑战······························································64 3.2.3 大数据组织关联基础流程··························································65 3.2.4 数据清洗······················································································66 3.2.5 数据标注······················································································69 3.2.6 数据组织······················································································75 3.2.7 数据关联······················································································82 3.2.8 图数据库······················································································89 3.3 地理空间大数据组织和关联··································································92 3.3.1 地理空间大数据组织管理框架··················································93 3.3.2 地理空间坐标系统和投影方式··················································93 3.3.3 地理空间统一时空框架······························································95 3.3.4 基础和承载数据标注··································································96 3.3.5 地理空间数据组织······································································99 3.3.6 地理空间数据关联····································································103 3.4 地理空间大数据组织关联应用····························································105 3.4.1 图谱构建····················································································105 3.4.2 知识图谱应用············································································129 3.5 小结········································································································137 第 4 章 地理空间大数据智能分析·······························································138 4.1 智能技术概述························································································138 4.1.1 智能分析的概念内涵································································138 4.1.2 人工智能大事记········································································139 4.1.3 深度学习发展历程····································································141 4.1.4 智能产业发展现状····································································143 VII 4.2 大数据智能分析技术············································································145 4.2.1 智能分析经典理论····································································145 4.2.4 深度学习基本思想····································································146 4.2.5 深度学习主流模型····································································148 4.2.6 深度学习主要框架····································································183 4.2.7 增强学习及其他········································································194 4.3 地理空间大数据智能分析技术····························································204 4.3.1 多任务深度学习框架································································205 4.3.2 样本数据采集制作····································································207 4.3.4 基于深度学习的遥感图像解译················································209 4.4 小结········································································································215 第 5 章 地理空间大数据可视化···································································216 5.1 可视化概述····························································································216 5.1.1 可视化的概念内涵····································································218 5.1.2 大数据可视化的挑战与机遇····················································219 5.1.3 大数据可视化工具····································································222 5.2 基础数据可视化····················································································222 5.2.1 矢量点························································································223 5.2.2 矢量线························································································224 5.2.3 矢量区域····················································································226 5.2.4 影像地图····················································································228 5.2.5 地形地貌····················································································228 5.2.6 环境····················································································231 5.2.7 场································································································232 5.3 承载数据可视化····················································································235 5.3.1 轨迹····························································································235 5.3.2 富媒体························································································237 5.3.3 赛博····························································································243 5.4 融合数据展现························································································247 5.4.1 视图关联····················································································248 5.4.2 图层管理····················································································250 5.4.3 层级关联····················································································251 5.4.4 网络关联····················································································255 5.4.5 时间关联····················································································259 VIII 5.5 大数据可视分析····················································································261 5.5.1 地理空间人机交互····································································261 5.5.2 面向方法的可视分析技术························································266 5.5.3 面向应用的可视分析技术························································274 5.5.4 地理空间可视分析工具····························································276 5.6 小结········································································································277 第 6 章 地理空间大数据典型应用·······························································278 6.1 应用概述································································································278 6.2 国土资源领域························································································278 6.2.1 需求背景····················································································278 6.2.2 技术方案····················································································279 6.2.3 应用效益····················································································285 6.3 交通运输领域························································································287 6.3.1 需求背景····················································································287 6.3.2 技术方案····················································································290 6.3.3 应用效益····················································································298 6.4 水利环保领域························································································301 6.4.1 需求背景····················································································301 6.4.2 技术方案····················································································302 6.4.3 应用效益····················································································312 6.5 城市建设领域························································································316 6.5.1 需求背景····················································································316 6.5.2 技术方案····················································································318 6.5.3 应用效益····················································································322 6.6 国防安全领域························································································327 6.6.1 需求背景····················································································327 6.6.2 技术方案····················································································329 6.6.3 应用效益····················································································334 6.7 小结········································································································341 中外文参考文献·································
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