提高海丝一号SAR影像定位精度的图像配准方法

doi:10.13474/j.cnki.11-2246.2023.0137

测绘通报 ›› 2023, Vol. 0 ›› Issue (5): 62-66.doi: 10.13474/j.cnki.11-2246.2023.0137

提高海丝一号SAR影像定位精度的图像配准方法

朱林红^1,2, 钟若飞^1,2, 王亚³, 李清扬^1,2

1. 首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;
2. 首都师范大学资源环境与旅游学院, 北京 100048;
3. 遵义师范学院信息工程学院, 贵州遵义 563099

收稿日期:2022-06-10 发布日期:2023-05-31
通讯作者: 钟若飞。E-mail:zrfsss@163.com
作者简介:朱林红(1996-),女,硕士,研究方向为遥感影像预处理。E-mail:2190902124@cnu.edu.cn
基金资助:
国家自然科学基金面上项目（42071444）；北京成像理论与技术高精尖创新中心专项

Image registration method for improving the positioning accuracy of HISEA-1 SAR image

ZHU Linhong^1,2, ZHONG Ruofei^1,2, WANG Ya³, LI Qingyang^1,2

1. Key Laboratory of 3D Information Acquisition and Application Ministry of Education, Capital Normal University, Beijing 100048, China;
2. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
3. College of Information Engineering, Zunyi Normal University, Zunyi 563099, China

Received:2022-06-10 Published:2023-05-31

摘要/Abstract

摘要： 海丝一号（HISEA-1）是国内首颗对标国际先进指标的C波段商业SAR卫星，最高成像分辨率为1 m，整颗星质量小于185 kg，具有轻小型、低成本、调度灵活等优点，但是其影像产品的定位精度相对于国内外高几何精度的卫星影像，如哨兵一号（Sentinel-1）干涉宽幅模式影像产品仍有差距。本文提出了一种利用图像配准技术提高SAR影像几何精度的方法，将已知高精度地理坐标的Sentinel-1数据作为参考基准，HISEA-1 SAR数据作为待配准图像，通过完成两者之间的精确匹配，以纠正HISEA-1 SAR影像的定位精度。

关键词: 海丝一号, 定位精度, 哨兵一号, 相位一致性, 图像配准

Abstract: HISEA-1 is the first domestic C-band commercial SAR satellite bench marking with international advanced indicators. The highest imaging resolution is 1 m, and the whole satellite mass is less than 185 kg. It has the advantages of light, small, low cost and flexible scheduling. However, the positioning accuracy of the image products is still far behind that of domestic and foreign satellite images with high geometric accuracy, such as Sentinel-1 interferometric wide band mode image products. This paper presents a method to improve the geometric accuracy of SAR image by using image registration technology. Sentinel-1 data with known high-precision geographical coordinates is used as the reference datum, and HISEA-1 SAR data is used as the image to be registered. By completing the accurate matching between the two images, the positioning accuracy of HISEA-1 SAR image is corrected.

Key words: HISEA-1 SAR, position accuracy, Sentinel-1, phase congruency, image registration

中图分类号:

P237

朱林红, 钟若飞, 王亚, 李清扬. 提高海丝一号SAR影像定位精度的图像配准方法[J]. 测绘通报, 2023, 0(5): 62-66.

ZHU Linhong, ZHONG Ruofei, WANG Ya, LI Qingyang. Image registration method for improving the positioning accuracy of HISEA-1 SAR image[J]. Bulletin of Surveying and Mapping, 2023, 0(5): 62-66.

参考文献

[1] SCHUBERT A, MIRANDA N, GEUDTNER D, et al. Sentinel-1A/B combined product geolocation accuracy[J]. Remote Sensing, 2017, 9(6):607.
[2] EINEDER M, MINET C, STEIGENBERGER P, et al. Imaging geodesy-toward centimeter-level ranging accuracy with TerraSAR-X[J].IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(2):661-671.
[3] 丁赤飚, 刘佳音, 雷斌, 等. 高分三号SAR卫星系统级几何定位精度初探[J]. 雷达学报, 2017, 6(1):11-16.
[4] XUE Sihan, GENG Xupu, MENG Lingsheng, et al. HISEA-1:the first C-band SAR miniaturized satellite for ocean and coastal observation[J]. Remote Sensing, 2021, 13(11):2076.
[5] 杨魁, 杨建兵, 江冰茹. Sentinel-1卫星综述[J]. 城市勘测, 2015(2):24-27.
[6] 葛玉君, 赵键, 杨芳. 高分辨率光学遥感卫星平台技术综述[J]. 国际太空, 2013(5):2-8.
[7] WANG Lina, SUN Mingchao, LIU Jinghong, et al. A robust algorithm based on phase congruency for optical and SAR image registration in suburban areas[J]. Remote Sensing, 2020, 12(20):3339.
[8] LI Jiayuan, HU Qingwu, AI Mingyao. RIFT:multi-modal image matching based on radiation-variation insensitive feature transform[J]. IEEE Transactions on Image Processing, 2020, 29:3296-3310.
[9] YE Yuanxin, BRUZZONE L, SHAN Jie, et al. Fast and robust matching for multimodal remote sensing image registration[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11):9059-9070.
[10] WATANABE T, ITO S, YOKOI K. Co-occurrence histograms of oriented gradients for human detection[J]. IPSJ Transactions on Computer Vision and Applications, 2010, 2:39-47.
[11] SHECHTMAN E, IRANI M. Matching local self-similarities across images and videos[C]//Proceedings of 2007 IEEE Conference on Computer Vision and Pattern Recognition.Minneapolis, MN, USA:IEEE, 2007:1-8.
[12] YE Yuanxin, SHAN Jie, BRUZZONE L, et al. Robust registration of multimodal remote sensing images based on structural similarity[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(5):2941-2958.
[13] YE Yuanxin, YANG Chao, ZHU Bai, et al. Improving Co-registration for Sentinel-1 SAR and Sentinel-2 optical images[J]. Remote Sensing, 2021, 13(5):928.
[14] LI Jiayuan, HU Qingwu, AI Mingyao. Robust feature matching for geospatial images via an affine-invariant coordinate system[J]. The Photogrammetric Record, 2017, 32(159):317-331.
[15] 何梦梦, 郭擎, 李安, 等. 特征级高分辨率遥感图像快速自动配准[J]. 遥感学报, 2018, 22(2):277-292.
[16] 姜刚, 贾鸿顺, 顾俊凯, 等.一种改进的辐射不变特征多源图像配准算法[J].测绘科学, 2020, 45(11):68-74.

提高海丝一号SAR影像定位精度的图像配准方法

Image registration method for improving the positioning accuracy of HISEA-1 SAR image

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