High resolution remote sensing image registration method based on multi-model representation

XIANG Sheng-wen; WEN Gong-jian; GAO Feng; WU Ying-jia

doi:10.13873/J.1000-9787(2015)10-0022-03

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High resolution remote sensing image registration method based on multi-model representation

更新时间：2025-09-11

- High resolution remote sensing image registration method based on multi-model representation
- Vol. 34, Issue 10, Pages: 22-24+28(2015)
- 作者机构：
  
  国防科技大学电子科学与工程学院ATR重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)10-0022-03
  CLC： TP751
- Published：2015
- 稿件说明：
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[1]项盛文,文贡坚,高峰,伍颖佳.基于多模型表示的高分辨率遥感图像配准方法[J].传感器与微系统,2015,34(10):22-24+28.

XIANG Sheng-wen, WEN Gong-jian, GAO Feng, et al. High resolution remote sensing image registration method based on multi-model representation[J]. 2015, 34(10): 22-24+28.
[1]项盛文,文贡坚,高峰,伍颖佳.基于多模型表示的高分辨率遥感图像配准方法[J].传感器与微系统,2015,34(10):22-24+28. DOI： 10.13873/J.1000-9787(2015)10-0022-03.

XIANG Sheng-wen, WEN Gong-jian, GAO Feng, et al. High resolution remote sensing image registration method based on multi-model representation[J]. 2015, 34(10): 22-24+28. DOI： 10.13873/J.1000-9787(2015)10-0022-03.

摘要

传统的配准方法假定两幅图像之间的几何变形可以用一个统一的变换模型来描述

高分辨率遥感图像配准

尤其当图像的分辨率达到米级和亚米级时

地物高程因素产生的像点位移不容忽略

导致这些区域的变形与平坦区域不一致

难以找到一个统一的变换模型来描述整幅图像的变形。针对高分辨率图像配准中存在的实际问题

提出了一种基于多模型表示的配准方法。在初配准阶段

完成图像中大部分平坦区域的校正

建立整体模型;在精配准阶段

完成局部高程区域的校正

建立局部模型。实验结果表明:该方法是准确有效的。

Abstract

Traditional registration methods generally assume distortion between images can be described by an uniform transformation model. It’s a tough work to find a proper registration model for high resolution remote sensing images

when the resolution is up to meter or sub-meter

the pixel point displacement caused by hypsography is improper to ignore. In order to resolve the problem

a registration method for high resolution images based on multi-model representation is proposed. In the first period

adjust most of flat area and a global model is constructed; during the second period

local areas with hypsography are corrected and local models are built.Experimental result shows the proposed method is accurate and effective.

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Keywords

references

一种基于角点特征的图像自动配准方法 [J]. 吕金建,文贡坚,李德仁,高峰. 遥感技术与应用 . 2007(03)

一种基于动态模板和等角变换的遥感影像地面控制点匹配算法 [J]. 邓小炼,王长耀. 测绘科学 . 2005(04)

The Remote Sensing Image Matching Algorithm Based on the Normalized Cross-Correlation and SIFT [J] . Xingxing Shen,Wenxing Bao. Journal of the Indian Society of Remote Sensing . 2014 (2)

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