遥感中的信息融合

Vistas in Astronomy Pub Date : 1997-01-01 DOI:10.1016/S0083-6656(97)00036-6

Torfinn Taxt , Anne H. Schistad Solberg

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引用次数: 9

摘要

简要介绍了遥感数据融合的研究进展，重点介绍了基于统计的数据融合方法。引言部分对数据融合和图像配准进行了定义，并提供了相关的历史背景和参考。多元数据是任何数据融合算法的必要基础。讨论了数据融合的可能层次和遥感中各种类型多变量数据的频繁出现。最后，提出了几种基于统计的数据融合方法，并讨论了贝叶斯框架下的数据融合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Information fusion in remote sensing

A short review of data fusion in remote sensing with emphasis on statistically based data fusion methods is given. The introductory part defines data fusion and image registration, and provides a historical background and some general references. Multivariate data are the necessary basis for any data fusion algorithm. The possible levels of data fusion and the frequent occurrence of various types of multivariate data in remote sensing are discussed. Finally, the paper presents a number of statistically based data fusion methods and discusses data fusion in the Bayesian framework.

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