结果表明所采取的方法在高分辨率遥感影像的城市绿地信息的提取上具有很好的应用性。
The result indicated that the method adopted has good utility on extraction urban green space information from high resolution remote sensing image.
研究高分辨率遥感城市绿地信息自动提取技术是城市遥感技术应用亟待解决的问题之一。
It is an important problem for city's remote sensing application to research extracting green-land from high resolution IKONOS image automatic.
在GIS技术支持下，提出城市绿地管理信息系统的系统目标和功能设计，分析了建立数据库的方法，并就其应用进行讨论。
With the support of GIS, the design idea and creating method of urban green space management information system are given.
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.
为了提高城市绿地灌溉效率，设计了一种能够充分利用气象预报信息的城市绿地灌溉模糊控制系统。
In order to improve usage efficiency of irrigation for city Greenland, Greenland irrigation fuzzy control system based on weather forecast information was developed in this paper.
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.
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.
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