通过强度图像分割进行合成孔径声纳干涉图滤波

IF 3.8 2区 工程技术 Q1 ENGINEERING, CIVIL
Ole Jacob Lorentzen;Torstein Olsmo Sæbø;Alan J. Hunter;Roy Edgar Hansen
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引用次数: 0

摘要

合成孔径声纳干涉测量法依靠两幅单一外观复杂图像的干涉图来估算水深。相位差测量值有方差,通常通过空间平滑来减少方差,但会牺牲水平分辨率。由于观测几何学的原因,高分辨率的强度图像与水深测量有关。因此,我们建议采用一种方法,对强度图像分割发现的边缘进行过滤。我们在模拟数据上演示了所建议的方法,结果表明在水平分辨率和小物体形状的可分辨性方面都有了定量和定性的改进。我们证明水深估计值的均方根误差(RMSE)提高了 30%,并观察到估计的水深更接近小而高的物体的真实形状。我们在真实数据上演示了我们建议的方法,并显示了类似的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synthetic Aperture Sonar Interferogram Filtering by Intensity Image Segmentation
Synthetic aperture sonar interferometry relies on the interferogram of two single look complex images to estimate bathymetry. The phase difference measurements have variance, which is typically reduced by spatial smoothing at the cost of horizontal resolution. The high resolution intensity image is related to the bathymetry because of the observation geometry. We therefore suggest an approach that constrains the filtering around edges found by intensity image segmentation. We demonstrate our suggested method on simulated data and show quantitative and qualitative improvements in both the horizontal resolution and the shape resolvability of small objects. We demonstrate a 30% improvement in RMSE of the bathymetric estimate, and observe that the estimated bathymetry more closely renders the real object shape for a small, but elevated object. We demonstrate our suggested method on real data and show similar results.
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
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