测绘通报 ›› 2017, Vol. 0 ›› Issue (12): 16-20.doi: 10.13474/j.cnki.11-2246.2017.0371

• 学术研究 • 上一篇    下一篇

利用融合方法提升WorldView短波红外影像分辨率

赵展, 卢莹, 夏旺, 闫利   

  1. 武汉大学测绘学院, 湖北 武汉 430079
  • 收稿日期:2017-06-19 修回日期:2017-09-04 出版日期:2017-12-25 发布日期:2018-01-05
  • 作者简介:赵展(1984-),男,博士,讲师,主要从事遥感影像融合、分类等方面的研究。E-mail:zhzhao@sgg.whu.edu.cn
  • 基金资助:
    国土资源部公益性行业科研专项经费(201511009)

Improving Spatial Resolution of WorldView SWIR Imagery Based on Image Fusion

ZHAO Zhan, LU Ying, XIA Wang, YAN Li   

  1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2017-06-19 Revised:2017-09-04 Online:2017-12-25 Published:2018-01-05

摘要: WorldView卫星在8个可见光-近红外多光谱波段的基础上,新增加的8个短波红外(简称SWIR)影像,大大提高了地物信息提取能力。但短波红外影像分辨率与多光谱影像相比分辨率过低,影响应用效果。本文提出了一种结合主分量变换和非下采样小波变换的影像融合方法来提升WorldView短波红外影像的空间分辨率。定量指标和目视评价证明本文提出的融合方法具有较好的融合效果,能够在显著提升短波红外影像空间分辨率的同时很好地保持原始光谱特性。

关键词: 影像融合, 短波红外影像, 小波变换, 主分量变换

Abstract: A new short wave infrared sensor,which can provide eight bands of SWIR imagery,is carried in the WorldView satellite,in addition to previous visible and near-infrared sensor that can acquire eight bands of visible and near-infrared imagery. But the spatial resolution of SWIR imagery is much lower than multispectral imagery,which affects its application. A new image fusion method based on non-subsampled wavelet transform and principal component transform is presented for improving the spatial resolution of SWIR imagery. The experiment shows the mothed can gain good fusion image,with spatial resolution significantly improved and original spectral property well maintained,in terms of visual observation and quantitative measures.

Key words: image fusion, short wave infrared image, wavelet transformation, principal component transformation

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