中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Feature space and metric measures for fusing multisensor images

文献类型:EI期刊论文

作者Chen S. H. ; Su B. ; Zhang H.
发表日期2008
关键词Fusion reactions Image quality Modulation Nuclear physics Risk assessment Wavelet transforms
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
29期:11页:3257-3270
收录类别EI
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/24992]  
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.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。