ALOS全色与多光谱影像融合方法比较

多源遥感影像融合能够综合利用多源遥感数据的优势,获得比单一数据更客观、更丰富的信息。以ALOS高分辨率卫星影像为例,选取包含不同地物的子区,分别应用不同的影像融合方法进行了融合实验,结果表明对于同一数据源,影像融合方法不同,其影像融合质量存在差异;同时研究区域包含的地物类型不同,最适宜的影像融合方法也不同。

Comparison of Image Fusion Methods for ALOS Panchromatic and Multi-spectral Images

The multiple source remote sensing image fusion can utilize the advantages of the multiple source images comprehensively,and can get more objective and abundant information than a single source image.This paper performed some image fusion experiments for some subsets that contain different surface features of ALOS,using different image fusion algorithms.The results show that different algorithms can get different quality fusion images for the same data,but every subset image that contain different surface features of ALOS have the most suitable image fusion method singly.