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资源三号多光谱影像谱段间相对内参关系标定及高精度配准
引用本文:李奇峻,范大昭,雷蓉,纪松,张文朝.资源三号多光谱影像谱段间相对内参关系标定及高精度配准[J].测绘学报,2016,45(6):685-690.
作者姓名:李奇峻  范大昭  雷蓉  纪松  张文朝
作者单位:1. 信息工程大学地理空间信息学院, 河南 郑州 450052;2. 61287部队, 四川 成都 610000
基金项目:国家自然科学基金(41401534),地理信息工程国家重点实验室开放基金(SKLGIE2013-M-3-1),测绘地理信息公益性行业科研专项经费(201412007),信息工程大学地理空间信息学院硕士学位论文创新与创优基金(XS201510),The National Natural Science Foundation of China(41401534),The Open Fund of State Key Laboratory of Geographic Information Engineering(SKLGIE2013-M-3-1),The Scientific Research Foundation for Public Welfare Industry of Surveying and Mapping and Geographic Information(201412007),Master Dissertation Innovation Foundation of Institute of Surveying and Mapping of Information Engineering University(XS201510)
摘    要:针对资源三号多光谱相机,提出利用同时获取的各谱段影像间高精度提取的同名像点建立多光谱相机各谱段对应分片CCD之间的位置模型,求解它们的相对内参关系参数,并应用此模型实现了谱段间影像的高精度谱段配准。试验结果表明该方法能够实现资源三号卫星多光谱影像优于0.3像素精度的谱段间自动配准。

关 键 词:多光谱相机  同名像点  相对内参关系  高精度  配准  
收稿时间:2015-07-08
修稿时间:2016-04-12

Calibration for Relative Interior Orientation Relationship and Band-to-band Registration with High Accuracy of ZY-3 Multi-spectral Image
LI Qijun,FAN Dazhao,LEI Rong,JI Song,ZHANG Wenzhao.Calibration for Relative Interior Orientation Relationship and Band-to-band Registration with High Accuracy of ZY-3 Multi-spectral Image[J].Acta Geodaetica et Cartographica Sinica,2016,45(6):685-690.
Authors:LI Qijun  FAN Dazhao  LEI Rong  JI Song  ZHANG Wenzhao
Institution:1. Institute of Surveying and Mapping, Informing Engineering University, Zhengzhou 450052, China;2. 61287 Troops, Chengdu 610000, China
Abstract:Using high accuracy match points extracted between the multi-spectral images that obtained at the same time,a position model of the CCD chips of the ZY-3 multi-spectral camera was proposed. Relative interior orientation relationship parameters were calculated and accurate band-to-band automatic registration of ZY-3 multi-spectral image was achieved based on the position model. The experimental result indicates that the band-to-band automatic registration accuracy of ZY-3 multi-spectral image is better than 0.3 pixels with the proposed method.
Keywords:multi-spectral camera  match point  relative interior orientation relationship  high accuracy  registration
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