天堂国产午夜亚洲专区-少妇人妻综合久久蜜臀-国产成人户外露出视频在线-国产91传媒一区二区三区

當(dāng)前位置:主頁 > 科技論文 > 測繪論文 >

矢量地表覆蓋數(shù)據(jù)增量更新方法研究

發(fā)布時(shí)間:2018-07-15 22:29
【摘要】:地表覆蓋數(shù)據(jù)是全球變化研究、生態(tài)環(huán)境評(píng)估、宏觀調(diào)控分析等的重要依據(jù),其現(xiàn)勢性直接影響到相關(guān)研究與宏觀決策的成敗。由于地表矢量覆蓋數(shù)據(jù)具有空間鋪滿、結(jié)構(gòu)復(fù)雜等特點(diǎn),現(xiàn)有數(shù)據(jù)更新方法難以實(shí)現(xiàn)其更新處理的自動(dòng)化(或半自動(dòng)化)。本文在分析了國內(nèi)外有關(guān)增量更新研究進(jìn)展的基礎(chǔ)上,提出了一套矢量地表覆蓋數(shù)據(jù)增量更新處理方案。主要研究工作包括: (1)在深入分析傳統(tǒng)GIS數(shù)據(jù)組織模型的基礎(chǔ)上,針對(duì)矢量地表覆蓋數(shù)據(jù)更新處理的要求,設(shè)計(jì)了遵循OGC規(guī)范的矢量地表覆蓋數(shù)據(jù)表達(dá)模型及相應(yīng)的更新動(dòng)態(tài)操作算子。 (2)分析了分類矢量化數(shù)據(jù)中大量碎多邊形產(chǎn)生的原因及其特征,在此基礎(chǔ)上提出了基于屬性相似度的碎多邊形聚合處理算法。通過實(shí)驗(yàn)比較了根據(jù)面積、屬性相似度、相似度結(jié)合面積等聚合方法的優(yōu)缺點(diǎn),選取了適合地表覆蓋數(shù)據(jù)更新處理的綜合聚合方式。 (3)在分析現(xiàn)有增量信息組織與更新處理方法的基礎(chǔ)上,設(shè)計(jì)并實(shí)現(xiàn)了一套基于拓?fù)潢P(guān)系的地表覆蓋數(shù)據(jù)增量信息組織與更新處理方案。 (4)在Visual Studio2008開發(fā)環(huán)境下,從底層開發(fā)了一套地表覆蓋數(shù)據(jù)增量更新原型系統(tǒng),以陜西地表覆蓋數(shù)據(jù)為例驗(yàn)證了本文模型與算法的可行性。
[Abstract]:Surface cover data is an important basis for global change research, ecological environment assessment, macro-control analysis and so on. Its current situation directly affects the success or failure of relevant research and macro-decision-making. Because the surface vector coverage data has the characteristics of space overlay and complex structure, it is difficult to realize the automation (or semi-automation) of the updating process by the existing data updating methods. Based on the analysis of the research progress of incremental updating at home and abroad, a set of incremental updating schemes for vector ground cover data is proposed in this paper. The main research work includes: (1) on the basis of deeply analyzing the traditional GIS data organization model, aiming at the requirement of vector ground cover data updating, The representation model of vector ground cover data and the corresponding update dynamic operation operator are designed in accordance with OGC specification. (2) the causes and characteristics of a large number of broken polygons in classified vectorized data are analyzed. On this basis, an algorithm for processing broken polygon aggregation based on attribute similarity is proposed. The advantages and disadvantages of aggregation methods based on area, attribute similarity, similarity and area are compared through experiments. A comprehensive aggregation method suitable for surface cover data update processing is selected. (3) based on the analysis of the existing incremental information organization and update processing methods, This paper designs and implements a set of incremental information organization and update processing scheme of ground cover data based on topological relation. (4) under Visual Studio 2008 development environment, a prototype system for incremental updating of surface cover data is developed from the bottom layer. The feasibility of the model and algorithm is verified by taking the surface cover data of Shaanxi province as an example.
【學(xué)位授予單位】:中南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:P208

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 蔡運(yùn)龍;自然地理學(xué)的創(chuàng)新視角[J];北京大學(xué)學(xué)報(bào)(自然科學(xué)版);2000年04期

2 朱華吉;;地形數(shù)據(jù)庫增量信息數(shù)據(jù)建模及其RDF描述[J];吉林大學(xué)學(xué)報(bào)(地球科學(xué)版);2007年01期

3 何宗宜;譚芬;魏秀琴;;地圖矢量數(shù)據(jù)處理研究[J];測繪科學(xué);2006年06期

4 簡燦良;阮紅利;;利用高分辨率的遙感衛(wèi)星影像更新1∶1萬比例尺數(shù)字地形圖的研究[J];測繪科學(xué);2006年S1期

5 李新通,何建邦;GIS互操作與OGC規(guī)范[J];地理信息世界;2003年05期

6 陳軍;趙仁亮;王東華;;基礎(chǔ)地理信息動(dòng)態(tài)更新技術(shù)體系初探[J];地理信息世界;2007年05期

7 盛秀杰;李宏利;;初探導(dǎo)航電子地圖的增量更新[J];地理信息世界;2009年05期

8 汪永紅;張斌;郭黎;張有為;;導(dǎo)航電子地圖增量更新方法研究[J];地理信息世界;2011年04期

9 蔣捷,陳軍;基礎(chǔ)地理信息數(shù)據(jù)庫更新的若干思考[J];測繪通報(bào);2000年05期

10 劉云峰;利用遙感影像更新1∶5萬核心矢量地形數(shù)據(jù)技術(shù)方案及問題探討[J];測繪通報(bào);2003年11期

相關(guān)博士學(xué)位論文 前1條

1 吳劍;基于面向?qū)ο蠹夹g(shù)的遙感震害信息提取與評(píng)價(jià)方法研究[D];武漢大學(xué);2010年

,

本文編號(hào):2125582

資料下載
論文發(fā)表

本文鏈接:http://sikaile.net/kejilunwen/dizhicehuilunwen/2125582.html


Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶dd8c7***提供,本站僅收錄摘要或目錄,作者需要?jiǎng)h除請(qǐng)E-mail郵箱bigeng88@qq.com