Multi-Scale PIIFD for Registration of Multi-Source Remote Sensing Images

被引：0

作者：

Gao C. ^{[1
,2
]}

Li W. ^{[1
,2
]}

机构：

[1] School of Information and Electronics, Beijing Institute of Technology, Beijing

[2] Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing

来源：

Journal of Beijing Institute of Technology (English Edition) | 2021年 / 30卷 / 02期

关键词：

Harris corner; Image registration; Multi-source; Partial intensity invariant feature descriptor (PIIFD); Remote sensing; Scale-space;

D O I：

10.15918/j.jbit1004-0579.2021.016

中图分类号：

学科分类号：

摘要：

This paper aims at providing multi-source remote sensing images registered in geometric space for image fusion. Focusing on the characteristics and differences of multi-source remote sensing images, a feature-based registration algorithm is implemented. The key technologies include image scale-space for implementing multi-scale properties, Harris corner detection for keypoints extraction, and partial intensity invariant feature descriptor (PIIFD) for keypoints description. Eventually, a multi-scale Harris-PIIFD image registration algorithm framework is proposed. The experimental results of fifteen sets of representative real data show that the algorithm has excellent, stable performance in multi-source remote sensing image registration, and can achieve accurate spatial alignment, which has strong practical application value and certain generalization ability. © 2021 Journal of Beijing Institute of Technology

引用

页码：113 / 124

页数：11

共 40 条

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