基于旋转不变描述的SAR图像匹配
Yunhao Chang1,2, Qing Xu3, Xin Xiong1
1Institute of Geospatial Information, Information Engineering University, Zhengzhou, 450001, China.
Scientific reports
|September 4, 2023
概括
本研究介绍了面向比梯度的里叶直方图 (Fourier HORG) 以实现强大的合成孔径雷达图像匹配. 富里埃HORG通过避免主要定位分配,增强合成孔径雷达图像记录,提高了相对于SAR-SIFT和富里埃HOG的准确性和稳定性.
科学领域:
- 遥感 遥感 遥感 遥感
- 计算机视觉 计算机视觉
- 信号处理 信号处理
背景情况:
- 合成孔径雷达 (SAR) 图像匹配对于各种应用至关重要.
- 像SAR-SIFT这样的现有方法容易受到斑点噪声的影响,影响准确性.
- 在描述符中分配主要方向可能是错误的来源.
研究的目的:
- 为强大的SAR图像匹配提出一个新的描述符.
- 为了提高SAR图像注册的准确性和稳定性.
- 为了克服噪音SAR图像中现有的特征描述符的局限性.
主要方法:
- 使用面向比率梯度 (Fourier HORG) 描述符的里叶直方图.
- 在极坐标系中对比度梯度进行里埃分析.
- 在SAR-SIFT算法框架的基础上构建,避免了主要方向分配.
主要成果:
- 拟议的福利埃HORG描述器在匹配实验中显示出更高的准确性.
- 与SAR-SIFT和Fourier HOG相比,该方法的稳定性得到了改善.
- 实验结果证实了Fourier HORG在SAR图像注册中的有效性.
结论:
- 富里埃HORG描述符为SAR图像匹配提供了一个强大的解决方案.
- 该方法通过减轻斑点噪声效应来增强SAR图像记录.
- 这种方法比SAR图像分析的现有技术有了显著的改进.
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