The algorithms for multi-source remote sensing image registration are classified by consistent features. It gives conclusions that multi-source remote sensing images have properties of various imaging properties, low correlations and matching features distributed nonuniformity spatially.
从成像光谱特性、成像分辨率和成像模式等方面对可见光、红外、高光谱和合成孔径雷达传感器的成像特点进行分析，根据一致性特征描述方法对多源遥感图像配准算法进行分类，指出多源遥感图像具有成像特性变化大、相关度小、匹配特征的空间分布不均匀等特点，其配准技术的关键在于提取不变的图像特征以及得到有效的匹配特征。
参考来源 - 多源遥感图像配准技术综述The study had a very important reference value for getting high-quality images by using the multi-source remote sensing image fusion.
研究对于使用多源遥感影像融合获取高质量影像有着重要的参考价值。
参考来源 - 多源遥感影像的融合方法效果分析·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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。
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。
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