城市绿地信息提取的研究进展

为了研究城市绿地信息的提取,笔者综述了国内外近10年的绿地信息提取的研究,发现中低分辨率的影像主要用基于像元的方法,高分辨率的影像主要利用面向对象化的方法。中低分辨率的影像获取成本比高分辨率的影像低。基于像元的方法存在椒盐现象,精度不高,但操作简便。面向对象化的方法操作复杂,但精度高,能满足景观生态学的意义。城市绿地信息的提取还存在不足,不符合城市绿地系统的分类标准,在今后的研究中还需要按照城市绿地系统分类标准提取绿地信息。

Research Progress of Information Extraction of Urban Green Space

Objective] The paper aims to research the extraction of urban green space information.main content] Nearly 10 years of domestic and inernational research information extraction green reviewed, found mainly in the low-resolution images with pixel-based approach, high-resolution image of the main object-oriented methods.The low-resolution image acquisition cost is lower than the high-resolution images.Based on the presence of salt and pepper phenomenon like element method,accuracy is not high, but easy to operate.Object-oriened approch complicaed operaion,but high accuacy to meet the meaning of landscape ecology.conclusion]Extraction of urban green there is insufficient information, does not meet the classification criteria of urban green space system ,in furture studies also need to extract information green urban by urban green space system in accordance with the classification criteria.