【摘要】：地理國情,我國重要的基本國情,對社會經(jīng)濟發(fā)展,城鎮(zhèn)化建設(shè)等起著重大的影響作用;地理國情通過對國情要素進行監(jiān)測與統(tǒng)計分析,得到了反映要素空間分布及演變結(jié)果。水系作為基礎(chǔ)測繪和地理國情監(jiān)測的重要要素之一,研究水系提取及水系統(tǒng)計分析就至關(guān)重要。本文主要采用三種方法進行水系提取,基于傳統(tǒng)的監(jiān)督分類方法、基于eCognition軟件的面向?qū)ο蠓诸惙椒ㄒ约袄肈EM提取水系的GIS方法。最后,在水系提取的基礎(chǔ)上,結(jié)合四期的水系專題數(shù)據(jù),對西安市周至縣水系進行基本統(tǒng)計分析�；趀Cognition的水系提取主要分為兩步,第一步,選取最優(yōu)的分割參數(shù),包括尺度參數(shù),形狀參數(shù),光譜參數(shù),對遙感影像進行分割,分割質(zhì)量的好壞影響著分類精度;第二步,在分割的基礎(chǔ)上,利用eCognition軟件中的特征知識庫對地物特征進行分析,選取合適的對象特征,進行水系提取。本研究以分辨率為2米的ZY3融合影像為實驗區(qū),采用監(jiān)督分類和面向?qū)ο蟮挠跋穹诸悓λ颠M行提取,對提取結(jié)果進行比較,得到適用于地理國情監(jiān)測項目的水系提取方法。探索出了利用DEM數(shù)據(jù)提取水系的GIS方法。本研究的創(chuàng)新之處在于,自動化的水系提取方法,極大的提高了項目日常生產(chǎn)效率,減少了人工工作量,為國情監(jiān)測項目提供了一定的技術(shù)參考。
[Abstract]:Geographical situation, an important basic situation of our country, plays an important role in the development of social economy and the construction of urbanization, and through monitoring and statistical analysis of the elements of national conditions, the spatial distribution and evolution results of the elements are obtained. As one of the important elements of basic mapping and geographical monitoring, it is very important to study the extraction and statistical analysis of water system. This paper mainly adopts three methods for water system extraction, which are based on the traditional supervised classification method, the object-oriented classification method based on eCognition software and the GIS method based on DEM. Finally, on the basis of water system extraction, combined with the special data of four periods of water system, the basic statistical analysis of water system in Zhouzhi County, Xi'an is carried out. The water system extraction based on eCognition is divided into two steps. In the first step, the optimal segmentation parameters, including scale parameter, shape parameter and spectral parameter, are selected to segment the remote sensing image. The quality of segmentation affects the classification accuracy. On the basis of the segmentation, the feature knowledge base in eCognition software is used to analyze the feature of the ground object, and the suitable object feature is selected to extract the water system. In this study, the ZY3 fusion image with a resolution of 2 meters was used as the experimental area, the supervised classification and the object-oriented image classification were used to extract the water system, and the extraction results were compared, and a water system extraction method suitable for the geographical situation monitoring project was obtained. The GIS method for extracting water system from DEM data was explored. The innovation of this study is that the automatic water system extraction method greatly improves the daily production efficiency of the project, reduces the workload of labor, and provides a certain technical reference for the monitoring project of national conditions.
【學(xué)位授予單位】：西安科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P331

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