遥感图象分类的统计融合方法及性能分析

A Statistical Data Fusion Method of Remotely Sensed Image and Its Performance Analysis

基于数据层的统计数据融合方法，以提高遥感图象的分类性能为目的，实现了一种新的可调参数的图象分类方法．用这种方法对ＴＭ图象和ＳＡＲ图象进行了一系列的实验，并对实验的结果进行了分析，从而得出关于数据层统计信息融合方法的有益的结论．

The paper aims at advancing the performance of the multisource remotely sensed image classification,based on the data fusion method of the data lever.The experiments on TM images and a SAR image are performed.From the result of the experiments,some helpful conclusions about the data fusion of the data lever are discussed.