基于分辨率退化模型的全色和多光谱遥感影像融合方法

李均力, 贾永红

李均力, 贾永红. 基于分辨率退化模型的全色和多光谱遥感影像融合方法[J]. 武汉大学学报 ( 信息科学版), 2004, 29(4): 302-306.
引用本文: 李均力, 贾永红. 基于分辨率退化模型的全色和多光谱遥感影像融合方法[J]. 武汉大学学报 ( 信息科学版), 2004, 29(4): 302-306.
LI Junli, JIA Yonghong. A New Fusion Method Based on Resolution Degradation Model for Panchromatic and Multi-spectral Images[J]. Geomatics and Information Science of Wuhan University, 2004, 29(4): 302-306.
Citation: LI Junli, JIA Yonghong. A New Fusion Method Based on Resolution Degradation Model for Panchromatic and Multi-spectral Images[J]. Geomatics and Information Science of Wuhan University, 2004, 29(4): 302-306.

基于分辨率退化模型的全色和多光谱遥感影像融合方法

基金项目: 国家基础测绘研究基金资助项目(146014020240104)
详细信息
    作者简介:

    李均力,硕士生。现主要从事遥感图像处理、影像融合和影像分类等研究。E-mail:welbetterlee@yahoo.com.cn

  • 中图分类号: TP751

A New Fusion Method Based on Resolution Degradation Model for Panchromatic and Multi-spectral Images

  • 摘要: 从影像成像的频率特性出发,提出了一种影像分辨率退化模型,并在此基础上提出了一种新的全色和多光谱遥感影像融合方法。
    Abstract: The objective of image fusion is to generate high-resolution multispectral images that can preserve the spectrum characteristics of the original of multispectral data. But the current fusion methods cause much spectrum distortion on multispectral images, which affects the accuracy of the further processing and analyses. In this paper, a new image fusion method based on image resolution degradation model is proposed to improve spatial and spectral resolution of synthetic images. In order to evaluate the spatial and spectral effects of the new method, we use IKONOS panchromatic and multispectral images as the test data, and some quantitative and qualitative measures are applied to assess the quality of fused images. The results show that the new method can keep the same spatial resolution almost as the panchromatic images, and the spectral effect of the new method is almost the same as that of wavelet based fusion methods.
计量
  • 文章访问数:  811
  • HTML全文浏览量:  72
  • PDF下载量:  201
  • 被引次数: 0
出版历程
  • 收稿日期:  2004-01-09
  • 发布日期:  2004-04-04

目录

    /

    返回文章
    返回