城市绿地分类标准；
城市绿地分类研究是绿地系统规划和实行绿地分类管理的重要技术支撑。
The study on classification of urban green space provides a crucial technical support for urban green space system and implementing the classified management of green space.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
A new automatic classification model of remote sensing image using pixel information decomposition combined with neural network classification is proposed in this paper.
第二章：对城市绿地休闲空间的分类及特征阐述。
Chapter 2: Classification and characteristics of urban green leisure space.
本文针对绿道的不同分类特点，分析了目前武汉城市绿地系统的不足，为武汉市未来建设城市绿道提出了规划建议。
This article focuses on various categories of greenway, in order to analyze the deficiency of greenbelt system in Wuhan now, for giving advice to build Wuhan urban greenway on city planning.
从两个景观尺度的分类目标层中矢量化提取出绿地信息，计算分析城市绿地斑块形状与景观参数。
From vectorised object classification layers of two landscape scale, the green space information is extracted, the shape and landscape parameter of urban green space are calculated and analysed.
论述了城市绿地系统及绿地系统功能，绿地系统规划的原则、内容、分类。
The function of green space in urban area, the principles and contents of planning, and classification of green space are elaborated.
在目前有关花境研究资料极其匮乏的情况下，以上海地区城市绿地应用为例，对花境的分类、应用形式、设计原则和配置手法等作了理论性探讨。
The classification, utilization styles and landscaping design for flower border were theoretical discussed, even though it has very limited materials about the related researches.
在分类的基础上，本文从城市绿地系统规划及城市绿地设计两个层面分别研究了乡土景观在城市园林中的运用。
Then this thesis from the urban green space system planning and landscape design of urban green space on two levels to study the the application of vernacular landscape in the urban landscape.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
It can be found that the mixed pixel decomposing is a good method to extract information from the remote sensing images with less spatial resolution.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
It can be found that the mixed pixel decomposing is a good method to extract information from the remote sensing images with less spatial resolution.
应用推荐