基于SAR-SIFT改进的SAR图像配准

doi:10.13474/j.cnki.11-2246.2021.0038

测绘通报 ›› 2021, Vol. 0 ›› Issue (2): 30-35,71.doi: 10.13474/j.cnki.11-2246.2021.0038

基于SAR-SIFT改进的SAR图像配准

李培¹, 姜刚^1,2, 马千里¹

1. 长安大学地质与测绘工程学院, 陕西西安 710064;
2. 西部矿产资源与地质工程教育部重点实验室, 陕西西安 710064

收稿日期:2020-04-16 出版日期:2021-02-25 发布日期:2021-03-09
作者简介:李培(1996-),男,硕士研究生,研究方向为遥感图像处理。E-mail:1239608938@qq.com
基金资助:
国家自然科学基金（41977231）；矿山地质灾害成灾机理与防控重点实验室开放基金（2017KF06）；城市群时代的超大城市环境风险防控研究（2019S004）

Improved SAR image registration algorithm based on SAR-SIFT

LI Pei¹, JIANG Gang^1,2, MA Qianli¹

1. Institute of geological engineering and surveying, Chang'an University, Xi'an 710064, China;
2. Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, Xi'an 710064, China

Received:2020-04-16 Online:2021-02-25 Published:2021-03-09

摘要/Abstract

摘要： 合成孔径雷达（SAR）图像配准时，由于受到乘性散斑影响，匹配算法的性能受到限制。SAR-SIFT使用ROEWA算子代替差分算法计算梯度，对SAR图像的散斑具有一定的稳健性。为了进一步抑制散斑噪声，本文提出了基于SAR-SIFT改进的SAR图像配准算法。利用非线性扩散滤波生成SAR图像的非线性扩散尺度空间，在非线性尺度空间不同尺度层上计算对应的SAR-Harris函数。为了使非线性尺度空间对散斑噪声具有稳健性，在其构造过程中的梯度信息采用ROEWA算子计算。此外，利用相位一致性信息去除初始关键点中由散斑引起的虚假点。多源、多极化、多时相的SAR图像试验结果表明，与SAR-SIFT算法相比，本文算法对散斑噪声更具稳健性，提高了图像匹配性能。

关键词: 非线性扩散尺度空间, 相位一致性, SAR-SIFT, ROEWA, 非线性扩散滤波

Abstract: During SAR image registration, the performance of the matching algorithm is limited due to the impact of multiplicative speckle. SAR-SIFT uses ROEWA operator instead of difference algorithm to calculate the gradient, which is robust to the speckle of SAR images.In order to further suppress speckle noise, an improved algorithm based on SAR-SIFT is proposed in this paper, which combines nonlinear diffusion filtering and phase congruency. In the proposed algorithm,the nonlinear diffusion filter is used to generate the nonlinear diffusion scale space of the SAR image, and the corresponding SAR-Harris function is calculated on different scale layers in the nonlinear diffusion scale space.To make the nonlinear diffusion scale space robust to speckle noise, the gradient information in the construction process of the nonlinear diffusion scale space is also calculated using the ROEWA operator. In addition, the phase congruency information is used to remove erroneouspoints caused by speckle in the initial key points.Experimental results on multi-source, multi-polarization, and multi-temporal SAR images indicate that our improved algorithm is more robust to speckle noise and improve the match performance compared to the SAR-SIFT algorithm.

Key words: nonlinear diffusion scale space, phase congruency, the SAR-SIFT, ROEWA, nonlinear diffusion filter

中图分类号:

P237

李培, 姜刚, 马千里. 基于SAR-SIFT改进的SAR图像配准[J]. 测绘通报, 2021, 0(2): 30-35,71.

LI Pei, JIANG Gang, MA Qianli. Improved SAR image registration algorithm based on SAR-SIFT[J]. Bulletin of Surveying and Mapping, 2021, 0(2): 30-35,71.

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基于SAR-SIFT改进的SAR图像配准

Improved SAR image registration algorithm based on SAR-SIFT

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