... 多源遥感数据 multi-source RS data 多源遥感图像 multiple remote sensing image 多源异构空间数据 multi-source heterogeneous spatial data ...
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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This dissertation develops a technique for the registration of multi-source images based on artificial immune system (A1S). This method consists of two steps.
本文采用一种基于人工免疫系统的多源遥感图像自动配准方法。
参考来源 - 基于人工免疫系统的多源遥感图像配准研究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
近年来，多源遥感图像融合已经成为遥感应用领域和图像工程领域的研究热点。
In recent years, multisensor image fusion techniques have attracted extensive attention in remote sensing application and image project area.
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。
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.
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