In this paper , theories about wavelet analysis and image fusion are reviewed and remote - sensing image fusion is realized using wavelet analysis and unsupervised classification . first , wavelet transform theories are systematically reviewed and summarized from the point of view of signal and information processing 本文首先从小波理论在信号与信息处理学科领域中的应用角度对小波理论进行了系统的总结和介绍，分别利用mallat算法和trous算法实现了图象的正交小波变换和冗余小波变换。
The paper puts a concept frame of the remote - sensing image mining for the problem , and proposes two content ? based remote - sensing image mining methods : semi - supervised improved fuzzy c - means clustering to remote - sensing image and interactive learning - based image mining in remote sensing 本论文针对这个问题提出了遥感图像挖掘的概念框架,并提出了两种基于内容的遥感图像挖掘方法:采用半监督的改进fcm聚类方法的遥感图像挖掘方法和基于交互学习的遥感图像挖掘方法。
