摘要
利用现代遥感技术,结合城市绿化的自身特点,提出了一个基于遥感的城市绿化遥感简化模型,利用该模型可对遥感影像图进行植被指数分析以及主成分分析等,并对图像及处理后的合成图进行波段相关性分析,计算OIF指数以及最佳波段组合,得到由3个最佳波段组成的合成影像图,然后对其进行非监督分类和监督分类,并将二者结果进行比较。经过比较,认为非监督分类比较适合本模型,且利用该模型能够快速提取城市绿化信息。
This paper puts forwards a remote sensing simplified model based on the characteristic of urban afforestation with modern remote sensing tech, and using model to analyze vegetation indices of remote sensing photomap and makes principal component analysis and wave band pertinence analysis for image and synthetic map after processing. OIF indices and optimum wave band combination are calculated, and then obtaining synthetic photomap composed from three optimum wave bands, and then making unsupervised and supervised classification, comparing the two results. This paper considers unsupervised classification that suits this model, and using this model can pick up fast the urban afforestation information.
出处
《地矿测绘》
2007年第3期7-10,共4页
Surveying and Mapping of Geology and Mineral Resources
关键词
遥感
城市绿化
植被指数
监督分类
非监督分类
城市绿化遥感简化模型
remote sensing
urban afforestation
vegetation indices
supervised classification
unsupervised classification
the remote sensing simplified model of urban afforestation