国产高分卫星遥感影像融合方法比较与评价

doi:10.13474/j.cnki.11-2246.2019.0174

测绘通报 ›› 2019, Vol. 0 ›› Issue (6): 5-10.doi: 10.13474/j.cnki.11-2246.2019.0174

国产高分卫星遥感影像融合方法比较与评价

邵亚奎¹, 朱长明¹, 张新², 沈谦¹

1. 江苏师范大学地理与测绘学院, 江苏徐州 221116;
2. 中国科学院遥感与数字地球研究所, 北京 100101

收稿日期:2019-01-08 修回日期:2019-03-25 出版日期:2019-06-25 发布日期:2019-07-01
通讯作者: 朱长明。E-mail:zhuchangming@jsnu.edu.cn E-mail:zhuchangming@jsnu.edu.cn
作者简介:邵亚奎(1992-),男,硕士生,主要研究方向为遥感与GIS应用。E-mail:syk227816_gis@163.com
基金资助:
国家重点研发计划（2017YFB0504201）；江苏省研究生创新计划（KYCX17_1691/2）；江苏师范大学创新项目（2018YXJ045）

Comparison of diffirent fusion methods and their performance evaluation to high spatial resolution remote sensing data of GF

SHAO Yakui¹, ZHU Changming¹, ZHANG Xin², SHEN Qian¹

1. College of Geography and Geomatics, Jiangsu Normal University, Xuzhou 221116, China;
2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Received:2019-01-08 Revised:2019-03-25 Online:2019-06-25 Published:2019-07-01

摘要/Abstract

摘要：

选择适宜的融合方法有利于卫星遥感影像融合产品更好地服务于生产实践及科学研究。本文在总结现有影像像素级融合算法原理的基础上，选用Pansharp、Gram-Schmidt、HPF、Ehlers、Subtractive、Modified IHS、Brovey、PCA、NNDiffuse等多种常用的影像融合方法对国产高分影像的全色和多光谱数据进行了融合处理，并从定性和定量的角度对融合结果进行了详细评价，试图寻找适用于国产高分卫星遥感影像的最佳融合方法。结果表明：针对国产高分一号卫星遥感数据，超分辨率贝叶斯算法融合效果在视觉效果与影像质量定量评价指标中综合表现最佳；Gram-Schmidt、NNDiffuse、Subtractive和HPF融合结果地物边界最为清晰；Modified IHS、PCA、Brovey融合影像色彩失真较为明显；NNDiffuse在可见光波段表现较突出；Gram-Schmidt在近红外波段表现效果最佳。

关键词: 高分一号, 影像融合, 质量评价, 遥感

Abstract:

Choosing an appropriate fusion method is conducive to better serving the practice and scientific research of remote sensing image. This paper tries to find the best fusion method for high resolution remote sensing images of China satellite at the basis of summarizing the existing image pixel-level fusion algorithms. Pansharp, Gram-Schmidt, HPF, Ehlers, Subtractive, Modified IHS transform, Brovey, PCA, NND and etc. methods were selected to fuse the panchromatic and multispectral data of high-resolution images of China satellites, and then 9 fusion results were evaluated qualitatively and quantitatively. The results show that Pansharping algorithm are the best both in the visual effect and the quantitative indicators of image quality evaluation. The results of Gram-Schmidt, NNDiffuse, Subtractive and HPF have the clearest boundary. Moreover, the result of Modified IHS, PCA and Brovey have obvious color distortion. The result of NND is more prominent in the visible band and Gram-Schmidt performs best in near infrared band. The information presented in this paper can provide technical reference for the application and research of GF-1 satellite data in the future.

Key words: GaoFen-1(GF-1), image fusion, quality assessment, remote sensing

中图分类号:

P237

邵亚奎, 朱长明, 张新, 沈谦. 国产高分卫星遥感影像融合方法比较与评价[J]. 测绘通报, 2019, 0(6): 5-10.

SHAO Yakui, ZHU Changming, ZHANG Xin, SHEN Qian. Comparison of diffirent fusion methods and their performance evaluation to high spatial resolution remote sensing data of GF[J]. 测绘通报, 2019, 0(6): 5-10.

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国产高分卫星遥感影像融合方法比较与评价

Comparison of diffirent fusion methods and their performance evaluation to high spatial resolution remote sensing data of GF

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