基于 MTF 和变分的全色与多光谱图像融合模型

周雨薇; 杨平吕; 陈强; 孙权森

doi:10.16383/j.aas.2015.c140121

基于 MTF 和变分的全色与多光谱图像融合模型

doi: 10.16383/j.aas.2015.c140121

1.
南京理工大学计算机科学与工程学院南京 210094;
2.
解放军理工大学气象海洋学院南京 211101

基金项目:

国家自然科学基金(41174164,61273251,61473310,41275029),中国航天科技集团公司航天科技创新基金资助项目(casc05131418),公益性行业(气象)科研专项(GYHY201306068),北极阁基金(BJG201209)资助

详细信息

作者简介:
周雨薇南京理工大学计算机科学与工程学院硕士研究生. 主要研究方向为模式识别, 遥感图像增强和融合.E-mail: yuwei zhou613@163.com

通讯作者:
陈强南京理工大学计算机科学与工程学院教授. 主要研究方向为图像处理和分析. 本文通信作者.E-mail: chen2qiang@njust.edu.cn

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出版历程
- 收稿日期: 2014-03-03
- 修回日期: 2014-08-29
- 刊出日期: 2015-02-20

Pan-sharpening Model Based on MTF and Variational Method

1.
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094;
2.
Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101

Funds:

Supported by National Natural Science Foundation of China (41174164, 61273251, 61473310, 41275029), Aerospace Science and Technology Innovation Fund of China Aerospace Science and Technology Corporation (casc05131418), China Research and Development Special Fund for Public Welfare Industry (Meteorology) (GYHY201306068), and the BeiJiGe Fund (BJG201209)

摘要

摘要: Pan-sharpening将高分辨率图像全色(Panchromatic, Pan)波段的空间细节注入多光谱(Multispectral, MS)波段, 以生成同时具有高光谱和高空间分辨率的多光谱图像. 为改善融合效果, 需要考虑多光谱和全色波段的调制传输函数(Modulation transfer function, MTF). 本文提出了一个新的基于MTF和变分的Pan-sharpening模型. 该模型的能量泛函包括两项, 第1项为细节注入项, 基于高通滤波器从Pan波段中提取细节信息并注入融合图像;第2项为光谱保真项, 基于MTF设计多孔小波的低通滤波器以保持MS波段的多光谱信息. 在QuickBird、IKONOS和GeoEye数据集上的融合结果表明, 该模型可以生成同时具有高空间和高光谱质量的融合图像, 融合效果优于AWLP、IHS_BT、HPM-CC-PSF、NAWL、快速变分等算法.
- 图像融合 /
- Pan-sharpening /
- 调制传输函数 /
- 变分 /
- 多孔小波
Abstract: In order to provide the multispectral (MS) image with both high spectral and high spatial resolution, pan-sharpening approach introduces the spatial details of Panchromatic (Pan) band into MS band. Modulation transfer function (MTF) of MS and Pan bands is necessary for high fusion quality. This paper proposes a novel pan-sharpening model based on MTF and variational method. The energy functional of the proposed model consists of two terms. The first one is the spatial detail injection term, which injects detail information extracted from Pan band by a high-pass filter into MS image. The second one is the spectral signature preserving terms, in which a low-pass filter of trouswavelet is designed to maintain the multispectral information based on MTF of MS band. The experimental results on QuickBird/IKONOS/GeoEye datasets demonstrate that this model can produce the fused MS image with high spectral and high spatial quality. The proposed model is superior to AWLP, IHS_BT, HPM-CC-PSF, NAWL and fast variational method in fusion performance.
- Image fusion /
- pan-sharpening /
- modulation transfer function (MTF) /
- variational method /
- "àtrous" wavelet

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参考文献(24)

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基于 MTF 和变分的全色与多光谱图像融合模型

doi: 10.16383/j.aas.2015.c140121

作者简介:
周雨薇南京理工大学计算机科学与工程学院硕士研究生. 主要研究方向为模式识别, 遥感图像增强和融合.E-mail: yuwei zhou613@163.com

通讯作者:
陈强南京理工大学计算机科学与工程学院教授. 主要研究方向为图像处理和分析. 本文通信作者.E-mail: chen2qiang@njust.edu.cn

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Pan-sharpening Model Based on MTF and Variational Method

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留言板

基于 MTF 和变分的全色与多光谱图像融合模型

doi: 10.16383/j.aas.2015.c140121

作者简介: 周雨薇 南京理工大学计算机科学与工程学院硕士研究生. 主要研究方向为模式识别, 遥感图像增强和融合.E-mail: yuwei zhou613@163.com

通讯作者: 陈强 南京理工大学计算机科学与工程学院教授. 主要研究方向为图像处理和分析. 本文通信作者.E-mail: chen2qiang@njust.edu.cn

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出版历程

Pan-sharpening Model Based on MTF and Variational Method

计量

出版历程

目录

作者简介:
周雨薇南京理工大学计算机科学与工程学院硕士研究生. 主要研究方向为模式识别, 遥感图像增强和融合.E-mail: yuwei zhou613@163.com

通讯作者:
陈强南京理工大学计算机科学与工程学院教授. 主要研究方向为图像处理和分析. 本文通信作者.E-mail: chen2qiang@njust.edu.cn