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道路網(wǎng)多尺度選取表達(dá):?jiǎn)栴},方法與應(yīng)用(英文版)

道路網(wǎng)多尺度選取表達(dá):?jiǎn)栴},方法與應(yīng)用(英文版)

定 價(jià):¥28.00

作 者: 周琪
出版社: 華中科技大學(xué)出版社
叢編項(xiàng):
標(biāo) 簽: 工業(yè)技術(shù) 汽車(chē)與交通運(yùn)輸 綜合運(yùn)輸

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ISBN: 9787568012584 出版時(shí)間: 2016-01-01 包裝: 平裝
開(kāi)本: 16開(kāi) 頁(yè)數(shù): 163 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  空間數(shù)據(jù)多尺度表達(dá)已被廣泛地應(yīng)用于電子地圖導(dǎo)航與定位、空間數(shù)據(jù)挖掘與分析。如何快速地表達(dá)與更新多尺度空間數(shù)據(jù),仍是現(xiàn)有應(yīng)用中的核心瓶頸問(wèn)題。道路網(wǎng)數(shù)據(jù)不僅是地圖上最重要的地理要素之一,而且是地圖導(dǎo)航與定位所需的空間數(shù)據(jù)。本書(shū)全面、系統(tǒng)地探討了道路網(wǎng)數(shù)據(jù)多尺度選取表達(dá)的關(guān)鍵研究問(wèn)題、核心方法及其典型應(yīng)用,并通過(guò)一系列的實(shí)驗(yàn),比較、分析了各種方法的優(yōu)劣。本書(shū)可供地圖制圖學(xué)與地理信息工程、地理學(xué)與地理信息系統(tǒng)專(zhuān)業(yè)的本科生,測(cè)繪科學(xué)與技術(shù)、地理學(xué)專(zhuān)業(yè)的研究生,以及測(cè)繪相關(guān)專(zhuān)業(yè)的研究人員與工程技術(shù)人員閱讀參考。

作者簡(jiǎn)介

暫缺《道路網(wǎng)多尺度選取表達(dá):?jiǎn)栴},方法與應(yīng)用(英文版)》作者簡(jiǎn)介

圖書(shū)目錄

Chapter 1Introduction(1)
1.1MultiScale Spatial Representation(1)
1.2Motivation: the Need for Automated MultiScale Spatial 
Representation(2)
1.3State of the Art on MultiScale Spatial Representation(4)
1.4Objectives and Scope of This Book(9)
1.5Structure of This Book(10)
Chapter 2State of the Art on Selective Omission in a Road Network(12)
2.1Issues on Selective Omission in a Road Network(12)
2.2Approaches to Selective Omission in a Road Network(21)
Chapter 3Experimental Analysis of Various Issues on Selective Omission 
in a Road Network(39)
3.1Comparison of Various Strategies to concatenate Road 
Segments into Strokes(39)
3.2Comparison of Various Measures to Determine the Importance of 
Individual Roads(60)
3.3Determination of Thresholds for Selective Omission Parameters(74)
Chapter 4Experimental Analysis of Various Approaches to Selective 
Omission in a Road Network(90)
4.1Comparison of General Approaches to Selective Omission 
in a Road Network(90)
4.2Comparison of Machine Learning Approaches to Selective 
Omission in a Road Network(97)
4.3Investigation of How Many Training Samples Are Needed by 
Using a Machine Learning Approach to Selective Omission(110)
Chapter 5Applications(119)
5.1Construction of Road Hierarchies for Continuous MultiScale 
Selective Omission(119)
5.2Use of a Machine Learning Approach for Road Network 
Updating(128)
5.3Summary(134)
Chapter 6Summary and Outlook(137)
6.1Summary of this Book(137)
6.2Limitations(140)
6.3Future Research Issues(142)
References(144)

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