GF-1卫星WFV影像间匀色方法

韩杰; 谢勇

doi:10.11947/j.AGCS.2016.20160248

测绘学报 >

2016 , Vol. 45 >Issue 12: 1423 - 1433

DOI: https://doi.org/10.11947/j.AGCS.2016.20160248

摄影测量学与遥感

GF-1卫星WFV影像间匀色方法

韩杰 ,
谢勇

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1. 许昌学院城乡规划与园林学院, 河南许昌 461000;
2. 南京信息工程大学地理与遥感学院, 江苏南京 210044

韩杰(1987-),男,博士,讲师,研究方向为高分辨率卫星传感器定标和真实性检验。E-mail:hanjie@radi.ac.cn

收稿日期: 2016-05-20

修回日期: 2016-09-20

网络出版日期: 2017-01-02

基金资助

国家自然科学基金（41671345）；高分辨率对地观测系统共性指南（50-Y20A07-0508-15/16）；许昌学院重点科研基金项目（2016086）

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Image Dodging Algorithm for GF-1 Satellite WFV Imagery

HAN Jie ,
XIE Yong

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1. School of Urban-rural Planning and Architecture, Xuchang University, Xuchang 461000, China;
2. School of Geography and Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received date: 2016-05-20

Revised date: 2016-09-20

Online published: 2017-01-02

Supported by

The National Natural Science Foundation of China (No.41671345);General Manual for High Resolution Earth Observation System (No.50-Y20A07-0508-15/16),Key Scientific Research Foundation of Xuchang University (No.2016086)

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摘要

影像匀色方法是决定拼接后影像能否进一步用于遥感定量化应用的重要环节之一。本文针对我国高分辨率对地观测系统的首发星——GF-1卫星宽覆盖WFV传感器4相机拼接成像特点，提出了一种基于交叉辐射定标的影像间匀色方法。该方法首先利用传统的交叉定标方法获取某一台WFV相机在轨绝对辐射定标系数，然后采用统计分析和仿真模拟方法建立了相邻相机影像间DN值、表观辐亮度的相关模型，在完成相机间绝对辐射性能传递的同时，实现了影像间匀色处理。试验结果表明利用本文获取的交叉辐射定标系数能够有效地消除相邻相机影像重叠区域辐射不一致性的问题，实现WFV影像间匀色。该匀色方法可为其他类似卫星传感器影像间匀色提供参考依据。

关键词： 影像间匀色; 交叉辐射定标; GF-1卫星; WFV传感器; MODIS

本文引用格式

韩杰 , 谢勇 . GF-1卫星WFV影像间匀色方法[J]. 测绘学报, 2016 , 45(12) : 1423 -1433 . DOI: 10.11947/j.AGCS.2016.20160248

Abstract

Image dodging method is one of the important processes that determines whether the mosaicking image can be used for remote sensing quantitative application. GF-1 satellite is the first satellite in CHEOS (Chinese high-resolution earth observation system). WFV multispectral sensor is one of the instruments onboard GF-1 satellite which consist of four cameras to mosaic imaging. According to the characteristics of WFV sensor, this paper proposes an image dodging algorithm based on cross/inter-radiometric calibration method. First, the traditional cross calibration method is applied to obtain the calibration coefficients of one WFV camera. Then statistical analysis and simulation methods are adopted to build the correlation models of DN and TOA (top of atmosphere) radiances between adjacent cameras. The proposed method can not only accomplish the radiation performance transfer, but also can fulfill the image dodging. The experimental results show the cross/inter-radiometric calibration coefficients in this paper can effectively eliminate the radiation inconsistency problem of the adjacent camera image which realizes the image dodging. So our proposed dodging method can provide an important reference for other similar sensor in future.

Key words： image dodging; cross/Inter-radiometric calibration; GF-1 satellite; WFV sensor; MODIS

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