At present the fusion of multi-source remote sensing image is a hotspot study in the field of remote sensing.
多源遥感影像融合已经是目前遥感领域研究的热点。
Using radial base function (RBF) artificial neural network and multi-source remote sensing imagery, the status of soil salinization in an area of north china is studied with satisfactory results.
文章应用径向基（RBF）人工神经网络，结合多源遥感影像对北方某地区耕地土壤盐渍化状况进行调查研究，取得了满意的效果。
On the basis of comprehensively summarizing and analyzing the current image registration techniques, this dissertation emphasizes the feature-based multi-source remote sensing image registration.
论文在全面总结和分析当前图像配准技术的基础上，重点研究了基于特征的多源遥感图像配准问题。
The methods have been used successfully in this study, which will provide reference for design and construction of multi-source remote sensing image database.
该方法的成功运用，为多源遥感影像数据库的设计与建设提供了参考。
The fusion of multi-source remote sensing images would give birth to an image of which information is more precise, more integrated and more reliable than that of a single image.
多源传感器影像的数据融合，可以产生出比单一信息源更精确、更完整、更可靠的影像信息。
Problems to be resolved and future direction of multi-source remote sensing data fusion are put forward.
最后分析了多源遥感数据融合尚待解决的问题及努力方向。
It concludes that the proposed method significantly outperforms many state-of-the-art methods under multi-source remote sensing images.
因此，在多源遥感影像特征点匹配中，本文所提算法优于其它检测算法，可以极大地改善匹配效果。
It concludes that the proposed method significantly outperforms many state-of-the-art methods under multi-source remote sensing images.
因此，在多源遥感影像特征点匹配中，本文所提算法优于其它检测算法，可以极大地改善匹配效果。
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