摘要
为了突出图像的边缘、线状目标或某些亮度变化率大的部分,生成边缘图像,运用Brovey融合和HSV锐化方法,对广州市部分地区的ASTER遥感影像进行处理,然后,对两种方法分别处理后的图像,采用平行六面体法监督分类,提取城市用地信息,并对分类后的图像进行对比试验,着重对城市绿地信息的提取进行分析,探究ASTER遥感数据的两种影像处理方法对城市绿地信息的提取效果,及其空间分布为城市生态评价和景观生态建设提供必要的基础数据。通过对比试验,结果显示:Brovey方法较好地显示城市绿地的分布状况,可作为城市绿地动态监测的判别方法之一;融合后的影像能够清晰地显示研究区城市绿地的分布结构及毗邻关系;通过采用区域放大、勾画不同地类边缘轮廓、配合人工解译等工作,能够增加城市绿地与其他用地类型的差异,突显城市绿地的分布、结构、生态学特征。
The Ministry of Land and Resources has initiated national remote sensing dynamic monitoring project for land use. Through analysis of satellite images of different periods, land use change information can be extracted and analyzed. This research work is mainly based on the operator experience engaged in the project in recent years. Many image fusion methods were developed in recent years accompanied by the development of multi-sensor, multi-temporal and multi-spectral remote sensing technologies. These fusion methods are widely used. However, the traditional image fusion is to increase the image spatial resolution and multi-spectral resolution. This paper is to merge different bands in the same image, attempting to make full use of multi-spectral and higher spatial resolution characteristic of ASTER image, even to mine their potential which can be used in land use and land cover changes. This paper may provide scientific reference for cosmically monitoring land use and land cover change. In order to highlight the edges of images, the line or the areas where a great change has in brightness, an ASTER image was used to extract urban vegetation information of the research area by color normalized and HSV sharpening methods. A comparison was made between the two classified images which were processed by parallelepiped method. Urban green spaces were paid more attention by compared tries. The analysis was made to explore the effects of the two methods based on ASTER images, in order to find a better access to spatial information of urban green spaces by remote images and provide basic data for the assessment in city ecological and the construction of landscape ecology. The resuh shows that color normalized method has a better performance in the distribution of urban green space, which was good at monitoring dynamically the distribution of urban green space. The structure and the adjacent of urban green spaces were clearly indicated by the fused images. The differences between urban green spaces and other land use types were amplified by the effect of region amplification, different types of edges and manual interpretation, which could highlight the distribution, structure and ecological characteristics of urban green spaces.
出处
《地球信息科学》
CSCD
北大核心
2009年第3期400-404,共5页
Geo-information Science
基金
教育部科学技术研究重点项目(206107)
国家外专局引进国外技术项目
