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遥感图像配准技术研究最新进展
引用本文:宋振环,唐伶俐,李传荣. 遥感图像配准技术研究最新进展[J]. 科技导报(北京), 2007, 25(12): 53-58
作者姓名:宋振环  唐伶俐  李传荣
作者单位:中国科学院遥感卫星地面站,北京,100081;中国科学院研究生院,北京,100039;中国科学院遥感卫星地面站,北京,100081;中国科学院光电研究院,北京,100080
摘    要:图像配准技术是近年来发展迅速的图像处理技术之一,是多光谱分类、环境检测、变化检测、图像镶嵌等所不可缺少的。本文对遥感图像自动配准领域出现的最新技术进行了总结、分类,按照图像模型分为基于像素的配准和基于物理模型的配准两大类,并从原理和配准性能上进行了对比,最后介绍了自动配准方法的性能评价,以及配准中存在的问题。

关 键 词:配准  特征选择  像素模型  物理模型  光流  有限元模型
文章编号:1000-7857(2007)12-0053-06
修稿时间:2007-04-29

Image Registration Techniques in Remote Sensing:A Review
SONG Zhenhuan,TANG Lingli,LI Chuanrong. Image Registration Techniques in Remote Sensing:A Review[J]. Science & Technology Review, 2007, 25(12): 53-58
Authors:SONG Zhenhuan  TANG Lingli  LI Chuanrong
Abstract:Image Registration (IR) technology is a fast-growing research field during the recent decades. It is widely used in multi-spectrum image classification, environmental monitoring, change detection and image mosaicing. This paper summarizes new techniques in that field and suggests a classification according to their image model, a pixel-based model or a physically-based model. Detailed comparisons of different IR methods are given from various perspectives-theoretical and practical performances. Some interesting issues of IR in recent researches are discussed. The major goal of this paper is to present a review of new emerging IR methods, identify their principles according to image models and to cover references as comprehensive as possible.
Keywords:registration  feature selection  pixel model  physical model  optical flow  FEM
本文献已被 CNKI 维普 万方数据 等数据库收录!
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