.png){kind=icon}
返回
Multiresolution-based image fusion with additive wavelet decomposition
.png){kind=icon}
OA
AI
DOI：10.1109/36.763274.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data. In this paper, we developed a technique, based on multiresolution wavelet decomposition, for the merging and data fusion of such images. The method presented here consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low-resolution) data. We have studied several possibilities concluding that the method which produces the best results consists in adding the high order coefficients of the wavelet transform of the panchromatic image to the intensity component (defined as L = R+G+B/3) of the multispectral image. The method is, thus, an improvement on standard intensity-hue-saturation (IHS or LHS) mergers. We used the a trous algorithm which allows to use a dyadic wavelet to merge nondyadic data in a simple and efficient scheme. We used the method to merge SPOT and LANDSAT (TM) images. The technique presented is clearly better than the IHS and LHS mergers in preserving both spectral and spatial information.
Keyword:
MULTISPECTRAL IMAGES
LANDSAT TM
TRANSFORM
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.6
论文数:
2.1W
被引数:
10.7W
机构
暂无机构信息
引用论文
.png){kind=icon}
Hydrogen Mobility Europe (H2ME): Vehicle and Hydrogen Refuelling Station Deployment Results欧洲氢能移动 (H2ME): 车辆和加氢站部署结果OAAI
OAAI分享收藏A wavelet transform method to merge landsat TM and SPOT panchromatic data合并landsat TM和SPOT全色数据的小波变换方法
PREAI
分享收藏
查看更多内容