A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM
A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM
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DOI：
10.1080/17538947.2015.1111950
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发表时间：
2016-06
影响因子：
5.1
通讯作者：
Hui Li;L. Jing;Zhongchang Sun;Junjie Li;R. Xu;Yunwei Tang;Fulong Chen
中科院分区：
文献类型：
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作者：
Hui Li;L. Jing;Zhongchang Sun;Junjie Li;R. Xu;Yunwei Tang;Fulong Chen
摘要当前图像融合方法产生的融合图像的光谱失真的一个主要原因是对应于全色（PAN）纯像素的混合多光谱（MS）子像素（MSP）的融合版本仍然是混合的。在融合过程中，MSP可以在光谱上被解混为在精细分类图中具有相同土地覆盖类别的纯像素。由于它是很难产生这样的土地覆盖分类图只使用MS和PAN图像，一个数字表面模型（DSM）来自航空光探测和测距数据在这项研究中，以方便分类。在本文提出的一种新的融合方法，MSP附近和跨植被和非植被之间的边界确定使用MS，PAN和归一化数字表面模型（nDSM）。然后将识别的MSP融合到分类图中相应土地覆盖类的纯像素。在WorldView-2图像在城市地区和相应的nDSM的测试中，所提出的方法产生的融合图像进行了视觉和定量比较，融合图像使用常见的图像融合方法。所提出的方法产生的融合图像产生最小的光谱失真和锐化植被和非植被之间的边界。
ABSTRACT A major reason for the spectral distortions of fused images generated by current image-fusion methods is that the fused versions of mixed multispectral (MS) sub-pixels (MSPs) corresponding to panchromatic (PAN) pure pixels remain mixed. The MSPs can be un-mixed spectrally to pure pixels having the same land cover classes in a fine classification map during the fusion process. Since it is difficult to produce such a land cover classification map using only MS and PAN images, a Digital Surface Model (DSM) derived from airborne Light Detection And Ranging data were employed in this study to facilitate the classification. In a novel fusion method proposed in this paper, MSPs near and across boundaries between vegetation and non-vegetation are identified using MS, PAN, and normalized Digital Surface Model (nDSM). The identified MSPs then are fused to pure pixels with respect to the corresponding land cover class in the classification map. In a test on WorldView-2 images over an urban area and the corresponding nDSM, the fused image generated by the proposed method was visually and quantitatively compared with fused images obtained using common image-fusion methods. The fused images generated by the proposed method yielded minimal spectral distortions and sharpened boundaries between vegetation and non-vegetation.