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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

周雨薇, 杨平吕, 陈强, 孙权森. 基于 MTF 和变分的全色与多光谱图像融合模型. 自动化学报, 2015, 41(2): 342-352. doi: 10.16383/j.aas.2015.c140121
引用本文: 周雨薇, 杨平吕, 陈强, 孙权森. 基于 MTF 和变分的全色与多光谱图像融合模型. 自动化学报, 2015, 41(2): 342-352. doi: 10.16383/j.aas.2015.c140121
ZHOU Yu-Wei, YANG Ping-Lv, CHEN Qiang, SUN Quan-Sen. Pan-sharpening Model Based on MTF and Variational Method. ACTA AUTOMATICA SINICA, 2015, 41(2): 342-352. doi: 10.16383/j.aas.2015.c140121
Citation: ZHOU Yu-Wei, YANG Ping-Lv, CHEN Qiang, SUN Quan-Sen. Pan-sharpening Model Based on MTF and Variational Method. ACTA AUTOMATICA SINICA, 2015, 41(2): 342-352. 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
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

Pan-sharpening Model Based on MTF and Variational Method

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: 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.
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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

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