多卫星遥感数据的信息融合:理论、方法与实践

Information Fusion of Multisensor Satellite Remote Sensing Data: Theory, Methodology and Experiment

首先介绍了信息融合技术的有关内容，进而对多卫星遥感数据融合的研究历史及现状进行了简要的综述。在此基础上，以地质应用为目标，探讨了多卫星数据融合的小波变换方法，研究了不同长度的小波基对融合结果的影响，提出了改进的小波融合模型（ＣＭＷＤ）。同时，对比评价了基于小波变换ＣＭＷＤ、ＩＨＳ变换、ＰＣＡ 分析的融合结果在提高空间分辨率、保持原始图象光谱信息的优劣。最后，提出了基于ＭｕｌｔｉＡｇｅｎｔ思想的多卫星遥感信息融合系统框架构想。

This paper firstly made a brief introduction of the technology for information fusion, and also summarized the previous and resent worldwide studies on the fusion of multisensor satellite remote sensing data. Then, aimed at geological application, the paper exhibited the utility of wavelet transform for data fusion purpose illustrated by an example of Landsat\|TM and SPOT\|PAN images. On the one hand, the authors performed a discussion on the relationship between wavelet coefficients and the fused results, and set up a fusion model called “CMWD”; On the other hand, the paper raised a comparison of the fused images which were merged by wavelet transform, PCA and IHS methods, in spatial quality improving and spectral information preserving respectively. Finally, based on Multi\|Agent theory, the paper presented a framework for building up an information fusion system of satellite data.