测绘学报 ›› 2016, Vol. 45 ›› Issue (2): 194-198.doi: 10.11947/j.AGCS.2016.20150238

• 摄影测量学与遥感 • 上一篇    下一篇

顾及像面畸变的卫星视频稳像

王霞1, 张过1 2 3, 沈欣2 3 4, 李贝贝5, 蒋永华6   

  1. 1. 国家测绘地理信息局卫星测绘应用中心, 北京 101300;
    2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079;
    3. 地球空间信息技术协同创新中心, 湖北 武汉 430079;
    4. 武汉大学资源与环境科学学院, 湖北 武汉 430079;
    5. 长光卫星技术有限公司, 吉林 长春 130033;
    6. 武汉大学遥感信息工程学院, 湖北 武汉 430079
  • 收稿日期:2015-05-06 修回日期:2015-11-10 出版日期:2016-02-20 发布日期:2016-02-29
  • 通讯作者: 张过,E-mail: guozhang@whu.edu.cn E-mail:guozhang@whu.edu.cn
  • 作者简介:王霞(1966-),女,硕士,高级工程师,主要研究方向为航天摄影测量。
  • 基金资助:
    国家自然科学基金(41201361;41501503);测绘地理信息公益性行业科研专项(201412007;201512022);湖北省自然科学基金(2015CFB330)

Satellite Video Stabilization with Geometric Distortion

WANG Xia1, ZHANG Guo1 2 3, SHEN Xin2 3 4, LI Beibei5, JIANG Yonghua6   

  1. 1. Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 101300, China;
    2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    3. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China;
    4. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China;
    5. Chang Guang Satellite Technology Co. Ltd, Changchun 130033, China;
    6. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
  • Received:2015-05-06 Revised:2015-11-10 Online:2016-02-20 Published:2016-02-29
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41201361;41501503 );Public Science Research Programme of Surveying, Mapping and Geoinformation(Nos.201412007;201512022);The National Natural Science Foundation of Hubei Province of China(No.2015CFB330)

摘要: 卫星视频每帧影像外方位元素数值存在差别,相邻帧影像间的同名点在像面位置不同,且由于每帧影像均存在几何畸变,经典的帧间的投影变换模型、仿射变换模型等视频稳像的配准模型不能精确描述帧间的同名点关系。针对该问题,本文提出顾及像面畸变的卫星视频稳像算法,基于仿真的卫星视频,验证了该算法的可行性和精度。

关键词: 卫星视频, 运动估计, 运动补偿, 视频稳像, 几何畸变

Abstract: There is an exterior orientation difference in each satellite video frame, and the corresponding points have different image locations in adjacent frames images which has geometric distortion. So the projection model, affine model and other classical image stabilization registration model cannot accurately describe the relationship between adjacent frames. This paper proposes a new satellite video image stabilization method with geometric distortion to solve the problem, based on the simulated satellite video, we verify the feasibility and accuracy of proposed satellite video stabilization method.

Key words: satellite video, motion estimation, motion compensation, video stabilization, geometric distortion

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