Integrating information from multiple remote sensing images can improve the reliability and accuracy of target interpretation.
综合利用多源遥感图像可抽取更具价值的信息,提高感兴趣区域或目标解译的可靠性和准确性。
参考来源 - 多源遥感图像舰船目标特征提取与融合技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The efficient integration of remote-sensing images with multiple spatial, temporal and spectrum resolution was a key of remote-sensing application.
对不同空间分辨率、时间分辨率和波谱分辨率的遥感图像进行综合、高效的利用，是遥感应用的关键问题之一。
The method of combining multiple classifiers developed in this paper has the same performance in classification of remote sensing images which have different landscape characteristics.
组合方法在不同景观特征地区的遥感分类中具有相同的性能特征。
Therefore, it is theoretically and practically significant to study the method of combining multiple classifiers and explore its application in automatic classification of remote sensing images.
因此，进行多分类器组合研究，探讨其在遥感影像自动分类中的应用，具有重要的理论与实践意义。
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