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应用科学学报 ›› 2010, Vol. 28 ›› Issue (4): 361-366.doi: 10.3969/j.issn.0255-8297.2010.04.006

• 信号与信息处理 • 上一篇    下一篇

利用调制传递函数滤波改进的高频调制影像融合

贾永红1;2， 张晓萍1， 贾世锋3， 张谦1   

  1. 1. 武汉大学遥感信息工程学院，武汉430079
    2. 武汉大学测绘遥感信息工程国家重点实验室，武汉430079
    3. 浙江省第一测绘院，杭州310012
  • 收稿日期:2010-04-22 修回日期:2010-05-21 出版日期:2010-07-23 发布日期:2010-07-23
  • 作者简介:贾永红，教授，博导，研究方向：遥感图像分析与应用、航天摄影测量、空间信息管理与更新等，E-mail: yhjia2000@sina.com
  • 基金资助:

    国家“863”高技术研究发展计划基金(No. 2007AA120203)；留学回国人员科研启动基金；地理空间信息国家测绘局重点实验室
    经费资助.

Improving High Frequency Modulation Image Fusion with Modulation Transfer Function Filters

JIA Yong-hong1;2, ZHANG Xiao-ping1, JIA Shi-feng3, ZHANG Qian1   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    2. State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing,
    Wuhan University, Wuhan 430079, China
    3. The First Surveying and Mapping Institute of Zhejiang Province, Hangzhou 310012, China
  • Received:2010-04-22 Revised:2010-05-21 Online:2010-07-23 Published:2010-07-23

PDF

1361

被引次数

4

摘要：

提出利用调制传递函数滤波来改进高频调制影像融合，以提高GeoEye-1融合影像的空间分辨率，同时保持影像光谱特性. 该方法首先由卫星影像测定调制传递函数，用这一传递函数对影像进行滤波退化，确定退化影像融合在最小均方误差下的高频调制影像融合权系数，进而用于非退化尺度下的融合，获得具有接近全色影像分辨率的多光谱融合影像. 与Erdas软件的加权高通滤波融合法和MTF-GIF的比较表明：改进的高频调制影像融合方法生成的融合影像在保持光谱信息和提高多光谱影像分辨率上是最佳的.

关键词: 影像融合, 调制传递函数, 分辨率退化, GeoEye-1影像

Abstract:

A new high frequency modulation fusion method is proposed to improve spectral quality of GeoEye-1 fusion image with high resolution. The modulation transfer function (MTF)used as a filter for degrading image is first measured from GeoEye-1 images. High frequency modulating parameters are then obtained based on the minimum mean square error criterion. Fused images obtained by using the proposed method have spatial resolution close to non-degraded pan images. Compared with fusion methods of weighted high-pass filtering used in ERDAS IMAGINE and MTF-GIF, the proposed method is the best in terms of preservation of spectral information and spatial resolution.

Key words: image fusion, modulation transfer function, resolution degradation, GeoEye-1 image

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