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	Feature space and metric measures for fusing multisensor images
	Chen S. H. ; Su B. ; Zhang H.
	2008
关键词	classification decomposition information multisource performance transform algorithm spot
英文摘要	A multivalued wavelet transform (MWT) is proposed to fuse multisensor images in feature space. First, feature space is constructed using image-derived features, and then the MWT is introduced. The multisensor images are then fused in the MWT domain using a voting and electing fuser based on the cross-feature scale guideline and the posterior probability of the MWT coefficient. The performance of the MWT is estimated using metric measures regarding various aspects of image quality. A fusion experiment using Thematic Mapper (TM) multispectral and SPOT panchromatic images of south China demonstrates that MWT outperforms smoothing filter-based intensity modulation (SFM) in terms of the fidelity to spectral properties and the injection of salient information. The experimental results confirm that the MWT is a superior fusion method for enhancing spatial quality of multispectral images with their spectral properties reliably preserved.
出处	International Journal of Remote Sensing
卷	29
期	11
页	3257-3270
收录类别	SCI
语种	英语
ISSN号	0143-1161
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24230]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Chen S. H.,Su B.,Zhang H.. Feature space and metric measures for fusing multisensor images. 2008.

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