基于知识的AVHRR影像的水体自动识别方法与模型研究

A DESCRIPTION MODEL BASED ON KNOWLEDGE FOR AUTOMATICALLY RECOGNIZING WATER FROM NOAA/AVHRR

根据水体光谱特性，通过分析水体在ＮＯＡＡ气象卫星的ＡＶＨＲＲ影像上的表象特征及与其它相关环境因子在光谱信息上的差异，认为水体在ＡＶＨＲＲ影像上具有光谱可分辨性，从而提出了基于水体光谱知识的水体自动提取识别的水体描述模型，并将该模型应用于太湖、淮河、渤海等地区，取得较好的效果。该模型方法同样可扩展应用于其它传感器获得的影像数据。

According to the spectral charcateristics of water bodies,we analyse the imagery feature of water in NOAA/AVHRR and spectral difference between water bodies and other relevant environmental factors,and get the conclusion that water body can be resolved in AVHRR spectrum.Eventually we developed a descriptive model for automatic extraction and recognization of water body based on knowledge of water spectrum feature. The model has been successfully used to extract water body information in Taihu Lake,Huihe River and Bohai Strait.This model can also be used in imagery data from other remote sensors.