数字航摄相机摄影数据色彩融合算法分析及质量评估

多源遥感图像融合中，即使针对同一融合对象若采用下同的融合方法也会产生下同的融合结果。融合方法的选择取决于具体的应用场景，迄今还没有普适的融合算法能够满足所有的应用需求，这意味着融合影像喷量评价应与具体应用有关。高空间分辨率与高光谱遥感影像的融合旨在生成具有高空间分辨率、高光谱分辨率特性的遥感影像，色彩融合是当今主流数字航摄相机进行色彩感知的主要技术手段，新型相机的下断涌现使得对应的色彩喷量评价具有很强的迫切性。本文在分析常用色彩融合方法特点、适用性、并着重考虑图像边缘”染色”问题的基础上，提出针对数字航摄相机色彩融合算法的评价指标硬方法，利用既有典型色彩融合算法对所提方法进行检验，筛选适用的色彩融合算法、并给出确定性的评价手段。

In multi-souree remote sensing image fusion, the different fusion results will still be produced using different fusion methods even for the same fusion object. The selection of fusion method depends on the specific application scenario. So far, no universal fusion algorithm can satisfy all the application requirements, which means that fusion image quality evaluation should be associated with the specific application. The fusion of high spatial resolution and hyper-speetral remote sensing image is designed to generate remote sensing images characterized with high spatial resolution and high spectral resolution. Color fusion is the main technical means for color perception by typical digital aerial camera, so the emergence of new camera makes the corresponding color quality evaluation urgent. According to analyzing the characteristics and adaption of the common color fusion and the problem of image edge dyeing, the targeted color fusion quality evaluation index and methods are proposed. The methods are tested using the existing color fusion algorithms. The applicable color fusion algorithm is also selected and the deterministic evaluation method is given.