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基于矩匹配算法的GF-2影像条带噪声去除

崔剑 史鹏会 白潍铭 刘晓静

国土资源遥感2017,Vol.29Issue(z1):34-38,5.
国土资源遥感2017,Vol.29Issue(z1):34-38,5.DOI:10.6046/gtzyyg.2017.s1.06

基于矩匹配算法的GF-2影像条带噪声去除

Destriping model of GF-2 image based on moment matching

崔剑 1史鹏会 1白潍铭 2刘晓静1

作者信息

  • 1. 河南省地质调查院,郑州 450001
  • 2. 河南省航空物探遥感中心,郑州 450001
  • 折叠

摘要

Abstract

Gaofen 2(GF-2) is China's first civil optical remote sensing satellite with spatial resolution better than 1 m. It has five bands, with wave length range from visible to near infrared light and spatial resolution under star as precise as 0. 8 m. Randomly streaking noise was found in the work, which affected interpretation and information extraction. According to the features of GF -2 image stripe, the destriping of GF -2 image was carried out by using moment matching. Then, the destriping result was analyzed by qualitative or quantitative analysis methods. The results show that moment matching can effectively eliminate the streaking noise of the GF-2 .

关键词

矩匹配/高分二号/条带噪声/噪声去除

Key words

moment matching/GF-2/streaking noise/destriping model

分类

信息技术与安全科学

引用本文复制引用

崔剑,史鹏会,白潍铭,刘晓静..基于矩匹配算法的GF-2影像条带噪声去除[J].国土资源遥感,2017,29(z1):34-38,5.

基金项目

中国地质调查局地质调查项目"国产卫星数据质量改进与地质矿产综合应用示范"(编号: DD20160067 )和"河南省矿产资源开发环境遥感监测"(编号:1212011120035)共同资助. (编号: DD20160067 )

国土资源遥感

OA北大核心CSCDCSTPCD

2097-034X

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