摘要
VEGETATION数据的植被指数,受云雾影响,含有大量的噪声信号,使用之前必须进行去噪声处理。结合实例数据介绍了半中值滤波法、半均值滤波法、等间隔极大值法用于植被指数的去噪声处理,效果良好;该处理方法同样适用于NOAA和MODIS等数据的植被指数预处理。
Due to the impact from cloud and mist,the plant indicator on VEGETATION data contains substantial noise signal.So,the Processing to remove the noise must be carried out before using it.Combined with the actual examples,the semi-intermediate value wave filtering method,semi-average value wave filtering method,and equal space MVC have been introduced,and have good results when being used in noise removal processing of plant indicator.Similarly,this processing method can be applied in plant indicator pre-processing for NOAA,MODIS data,etc.
出处
《中南林业调查规划》
2005年第1期47-49,共3页
Central South Forest Inventory and Planning
关键词
林业
遥感
VEGETATION数据
半中值滤波法
半均值滤波法
等间隔极大值法
forestry
remote sensing
VEGETATION data
semi-intermediate value Wave filtering method
semi-average value wave filtering method
equal space MVC.