摘要
鉴于采用传统方法在提取高分辨率影像水域信息存在不足,本文以高分辨率国产卫星高分一号宽幅16 m空间分辨率多光谱影像为数据源,以浙江省钱塘江流域为研究区域,通过预先对影像进行NDWI处理,在此基础上利用改进FCM聚类算法实现了水域信息的自动提取,并与传统的NDWI和ISODATA分类方法提取结果进行比较。结果表明,该方法在分类效果和精度方面均优于传统分类方法,作为国产高分一号影像水域信息自动提取方法是可行的。
In view of the shortcomings of traditional methods in extracting water information in high resolution images, a modified FCM clustering algorithm after being proposed by NDWI in advance was used to extract the information of water body. The China - made GF -1 multispectral imagery with 16m spatial resolution was taken as the data source and the district of Qiantang Rive in Zhejiang Prov-ince was taken as the study area in this paper. The result was compared with the traditional NDWI and ISODATA classification meth-ods. The results show that the method proposed in this paper is superior to the traditional methods in classification effect and preci-sion, and it is feasible as an automatic water body extraction method for China - made GF - 1 image.
出处
《测绘与空间地理信息》
2017年第6期86-88,共3页
Geomatics & Spatial Information Technology
