RSCJ: Robust Sample Consensus Judging Algorithm for Remote Sensing Image Registration

被引：36

作者：

Li, Bin ^{[1
]}

Ye, Hao ^{[1
,2
]}

机构：

[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

[2] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2012年 / 9卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Image registration; remote sensing; robust estimation;

D O I：

10.1109/LGRS.2011.2175434

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Problems concerning transformation estimation for remote sensing image registration are studied in this letter. Based on the affine-invariance property of triangle-area representation, a new algorithm called robust sample consensus judging is proposed. It can be embedded into most robust estimation algorithms with hypothesis-and-testing frameworks (such as random sample consensus) and can significantly improve their computational efficiency without sacrificing remote sensing image registration accuracy. Simulation and experimental results show the merits of the proposed algorithm.

引用

页码：574 / 578

页数：5

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