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一种基于地球同步卫星光学遥感影像的运动船舶检测与跟踪方法

A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Image of Geostationary Satellite

Abstracts

地球静止光学遥感卫星具有时间分辨率高、覆盖范围广等优点,可以大范围连续跟踪观察海上船舶目标。然而,地球同步卫星遥感影像中的船舶目标通常体积小、强度弱,易受云、岛等因素影响,给船舶目标的检测带来很大的困难。本文提出了一种从地球静止光学遥感图像中检测在海面上移动的船舶的新方法:首先,采用自适应非线性灰度拉伸(ANGS)方法对图像进行增强,以突出小而弱的船舶目标。其次,设计了一种多尺度双邻域差分对比度测量(MDDCM)方法来检测候选船舶目标的位置。然后,分析每个候选区域的形状特征以去除虚假的船舶目标。最后,联合概率数据关联(JPDA)方法用于多帧数据关联和跟踪。实验表明,该方法能够有效地检测和跟踪GF-4卫星光学遥感影像中的运动船舶目标,与其他经典方法相比,该方法具有更好的检测性能。
[英文摘要] The geostationary optical remote sensing satellite has the advantages of high temporal resolution and wide coverage, which can continuously track and observe ship targets on the sea in a large range. However, the ship targets in geostationary satellite remote sensing image are usually small and weak, and are easily affected by cloud, island and other factors, which brings great difficulty to the detection of ship targets. This paper proposes a new method for detecting ships moving on the sea surface from geostationary optical remote sensing images: Firstly, the adaptive nonlinear gray stretch (ANGS) method is used to enhance the image to highlight the small and weak ship targets. Secondly, a multi-scale dual-neighbor difference contrast measure (MDDCM) method is designed to detect the position of the candidate ship target. Then, the shape characteristics of each candidate area is analyzed to remove false ship targets. Finally, the joint probability data association (JPDA) method is used for multi-frame data association and tracking. Experiments show that the proposed method can effectively detect and track moving ship targets in GF-4 satellite optical remote sensing images, and the method has better detection performance compared with other classical methods. "
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From: 余伟
DOI:10.12074/202109.00021
Recommended references: 余伟.(2021).一种基于地球同步卫星光学遥感影像的运动船舶检测与跟踪方法.[ChinaXiv:202109.00021] (Click&Copy)
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[V1] 2021-09-10 11:35:39 chinaXiv:202109.00021V1 Download
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