遥感图像配准技术研究最新进展

Image Registration Techniques in Remote Sensing: A Review

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。

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.