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城市绿地信息
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  urban greenery information
     Research on Design of Urban Greenery Information System Based on COMGIS and WebGIS
     基于COMGIS的城市绿地信息系统设计的研究
短句来源
     Based on the new developed technology of ComGIS and WebGIS,the basal skeleton of urban greenery information system is proposed,the broad foreground of the application of ComGIS and WebGIS in urban greenery information system is revealed.
     基于ComGIS和WebGIS最新发展技术,提出建立城市绿地信息系统的基本框架体系,展现了ComGIS和WebGIS应用于城市绿地信息系统的广阔前景.
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  “城市绿地信息”译为未确定词的双语例句
     An Application of IKONOS Image to City Green Land Information Extraction
     IKONOS影像在城市绿地信息提取中的应用
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     The Application of 3S Technology in the Karst Areas of Urban Green Space Information Retrieval and Management
     3S技术在喀斯特地区城市绿地信息提取及管理中的应用
短句来源
     Methods of urban virescence feature extraction based on remote sensing and GIS: a case study in Shenzhen city
     遥感与GIS支持下的城市绿地信息提取方法研究——以深圳市为例
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     A Comparative Study of Extracting Urban Vegetation Information by Vegetation Indices from Thematic Mapper Images
     植被指数在城市绿地信息提取中的比较研究
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     Research the Method of Extracting City Green Land Information Based on RS Image
     基于遥感影像的城市绿地信息提取方法研究
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  相似匹配句对
     The research on the urban green land by using aerial image data
     上海市城市绿地景观的信息图谱
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     Development of Urban Greenland Classification Managemengtal Information System
     城市绿地分类信息管理系统
短句来源
     Research on Detection of Urban Vegetation by Object-Oriented Classification
     面向对象的城市绿地信息提取方法研究
短句来源
     An Application of IKONOS Image to City Green Land Information Extraction
     IKONOS影像在城市绿地信息提取中的应用
短句来源
     Research on Design of Urban Greenery Information System Based on COMGIS and WebGIS
     基于COMGIS的城市绿地信息系统设计的研究
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Monitoring urban vegetation is one of the major environmental applications in remote sensing today.As the main data sources for urban vegetation high resolution imagery provides a good basis for recognizing and monitoring small scale structure changes. Going far beyond the methodical limits of pixel based and manual interpretation approaches,multi resolution image segmentation and object oriented image analysis approaches are used for extracting information from airborne remote sensing data.This paper presents...

Monitoring urban vegetation is one of the major environmental applications in remote sensing today.As the main data sources for urban vegetation high resolution imagery provides a good basis for recognizing and monitoring small scale structure changes. Going far beyond the methodical limits of pixel based and manual interpretation approaches,multi resolution image segmentation and object oriented image analysis approaches are used for extracting information from airborne remote sensing data.This paper presents a snapshot of work to detect vegetation information in Daqing city using this new patented technique. It allows the segmentation of an image into highly homogeneous image objects in any chosen resolution and the generation of a network of image objects. The process does not classify single pixel but rather image object.Not only spectral information but also spatial, physical and contextual characteristics of image objects are used for classification.Classification is conducted by fuzzy logic,and image objects are evaluated using membership function classifiers.Membership functions are used to produce class description, which consists of a set of fuzzy expressions from appropriate sample objects.The result of vegetation information extraction is promising and the precision of classification is higher than other conventional processes.It is obvious that this new image analysis approach offers a satisfying solution to extract information quickly and efficiently.

高分辨率遥感影像是城市绿地信息快速提取的主要数据源 ,文中以多尺度影像分割与面向对象影像分析方法为主要技术 ,利用样本多边形对象的成员函数建立训练区 ,自动提取大庆市城市绿地覆盖信息 ,达到清查城市绿地的目的。该方法信息获取周期短、精度高、成本低 ,实现了城市绿地信息精确获取与快速更新。

This paper discusses about the extraction of urban green space from an IKONOS image using a hierarchical classification technique. Green space information was obtained based on the spectral characteristics of different objects with the help of available corresponding methods after the combination of IKONOS multi-spectral data. Due to high resolution of IKONOS imagery, large amount of data and heterogeneous nature of spectrum, the extraction of urban green space was carried out on segments after image segmentation....

This paper discusses about the extraction of urban green space from an IKONOS image using a hierarchical classification technique. Green space information was obtained based on the spectral characteristics of different objects with the help of available corresponding methods after the combination of IKONOS multi-spectral data. Due to high resolution of IKONOS imagery, large amount of data and heterogeneous nature of spectrum, the extraction of urban green space was carried out on segments after image segmentation. This would help much improving the accuracy of extraction of urban green space from the whole image. In test area of the image, the spectral characteristics of different features in all 4 bands are analyzed. The spectral characteristics of old urban area and asphalt road are similar to those of part of green space. Moreover, it is difficult to extract green space under the shadow. In order to extract information from the mixed green space with non-green space, through enhancing NDVI values of a green space under the shadow, parts of green space are extracted (NDVI > 0.18), then parts of non-green space are eliminated. The next step is to extract green space from mixed green space and non-green space based on spectral knowledge and unsupervised ISODATA clustering. Finally, green space information of test area is obtained by aggregating different levels of green space. The methodology is basically concerned with the object spectral features and noise due to the mixture of different land-use/land-cover categories is significantly avoided. To demonstrate the efficiency of proposed method, unsupervised ISODATA clustering method was used to extract green space from the test area,then both results were compared to show accuracy. The visual interpretation and ground truth checks of the test area have proved that the classification accuracy and productivity accuracy of the first method are higher than that of the latter.

本文以南京城市为例 ,重点讨论了基于IKONOS影像的城市绿地信息分级分类提取方法 ,通过将IKONOS多光谱数据合成 ,根据各类地物的不同光谱特征 ,采取相应的方法提取出各层信息。在此过程中 ,仔细分析地物间在IKONOS 4个波段中的光谱差异 ,非线性增强阴影区绿地的NDVI值 ,利用光谱差异分层提取、剔除信息 ,最后把各分级绿地信息合并得到整体绿地分布图。分级分类法充分考虑各类目标的不同特点 ,避免了通常单一分类方法中单纯利用光谱特征所造成的地物混分现象。

City greenbelt is a sub-ecosystem of the city eco-system.It is the principal nature factor of the city and it can adjust the environment of the city.So it attracts attention and inspecting and controlling the city greenbelt becomes a important subject in city planning.This paper studies the pattern of the greenbelt in Urumchi and discusses the technique of the research by using TM image based on information of the remote sense and using band NDVI and other combined bands,it picks up the thematic information...

City greenbelt is a sub-ecosystem of the city eco-system.It is the principal nature factor of the city and it can adjust the environment of the city.So it attracts attention and inspecting and controlling the city greenbelt becomes a important subject in city planning.This paper studies the pattern of the greenbelt in Urumchi and discusses the technique of the research by using TM image based on information of the remote sense and using band NDVI and other combined bands,it picks up the thematic information of the greenbelt and probes the measures of getting this information.This paper combines bands by calculating the correlation coefficient of theprincipal components and NDVI,so we can improve the precision of the judging image by eyes and classification,then comparing with other data we can find this way can acquire fine result.The result indicates:there are some problems in greenbelt in Urumchi such as the proportion is less,distributing pattern is illogicality,etc.This paper tables a proposal of the methods in constructing greenbelt in Urumchi.

城市绿地是城市生态系统中的一个子系统,可以综合调节城市生态环境。本文基于遥感信息,对乌鲁木齐市绿地格局进行研究和探讨,对城市绿地专题信息进行提取。主要通过计算TM影像及各主成分分量和归一化植被指数NDVI的相关系数来进行波段组合,提高遥感影像的目视解译精度和分类精度,然后与其他资料对比研究,可以发现该方法对于城市绿地信息提取能取得较好结果。研究表明乌鲁木齐市城市绿地存在面积较少,分布状况不均匀。

 
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