环境减灾小卫星影像水体和湿地自动提取方法研究

Research on Automatic Extraction of Water Bodies and Wetlands on HJ Satellite CCD Images

本文在研究HJ星多光谱CCD相机数据地物光谱特征基础上,提出了一种基于蓝光波段的改进型归一化差异水体指数(NDWI-B),并分别利用HJ星数据和ETM+数据,比较分析了NDWI-B和归一化差异水体指数NDWI提取水体的效果。结果证明,应用NDWI-B除可准确提取大范围水体外,还能够提取小范围水体和湿地,为基于环境减灾小卫星数据的洪水淹没等水体分布信息快速自动提取提供了一种实用化方法。

HJ Satellites can be used in dynamic inspection and evaluation of the flood disaster because of its short observation period and high spatial resolution.In this article,the spectral features of the land surface on HJ satellites CCD images were studied,and a modified normalized difference water index based on Blue light（NDWI-B） was produced.In order to prove it,ETM images were also used to generate NDWI-B and normalized difference water index（NDWI） of Mcfeeters（1966）.The results showed that not only the large water bodies but also small water bodies and wetlands could be divided on the NDWI-B images.This provided an effective method to extract the water distribution information fast that were submerged by flood using HJ satellites CCD images.