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一种国产高分卫星遥感影像变分融合方法

尹峰 孟祥超 梁鹏

国土资源遥感2018,Vol.30Issue(2):100-106,7.
国土资源遥感2018,Vol.30Issue(2):100-106,7.DOI:10.6046/gtzyyg.2018.02.14

一种国产高分卫星遥感影像变分融合方法

A variational fusion method for remote sensing images of China's domestic high-resolution satellites

尹峰 1孟祥超 2梁鹏1

作者信息

  • 1. 湖北省国土资源研究院,武汉 430071
  • 2. 武汉大学资源与环境科学学院,武汉 430079
  • 折叠

摘要

Abstract

The current panchromatic(PAN) / multispectral(MS) fusion methods do not comprehensively consider the characteristics of the remote sensing images from China's domestic high-resolution satellites. Therefore, this paper proposes a variational fusion method for China's domestic high-resolution images. On the one hand, the three-dimensional spectral high -fidelity model based on the spectral gradient is proposed by comprehensive consideration of the relations between the spectral bands. On the other hand, according to the existing blurring characteristics of the PAN image acquired by China's domestic high-resolution satellites,the spatial enhancement model in consideration of the blurring degradation is developed. Finally, the fusion energy function is constructed by combining the prior knowledge of the remote sensing images, and it is solved by the classical gradient decent methods to obtain the fused image. The proposed method was tested and verified by the Gaofen-1 (GF-1) and Gaofen-2 (GF -2) satellite datasets. In addition, the popular GS, PRACS, and ATWT -M3 methods were applied for comparison from both qualitative and quantitative aspects. The experimental results show that the proposed variational high-fidelity PAN/MS fusion method comprehensively considers the characteristics of China's domestic satellites, and hence it can maximally preserve the spectral information while effectively improve the spatial resolution of the MS images,thus achieving the best fused results.

关键词

融合/多光谱影像/全色影像/变分/遥感

Key words

fusion/multispectral image/panchromatic image/variational model/remote sensing

分类

信息技术与安全科学

引用本文复制引用

尹峰,孟祥超,梁鹏..一种国产高分卫星遥感影像变分融合方法[J].国土资源遥感,2018,30(2):100-106,7.

基金项目

湖北省国土资源科研专项项目"基于多源高分遥感数据的多层次土地监测监管关键技术与应用研究"(编号:ETZ2016A16)资助. (编号:ETZ2016A16)

国土资源遥感

OA北大核心CSCDCSTPCD

2097-034X

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