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A novel star extraction method based on modified water flow model

机译:一种基于改性水流模型的新型星提取方法

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Star extraction is the essential procedure for attitude measurement of star sensor. The great challenge for star extraction is to segment star area exactly from various noise and background. In this paper, a novel star extraction method based on Modified Water Flow Model(MWFM) is proposed. The star image is regarded as a 3D terrain. The morphology is adopted for noise elimination and Tentative Star Area(TSA) selection. Star area can be extracted through adaptive water flowing within TSAs. This method can achieve accurate star extraction with improved efficiency under complex conditions such as loud noise and uneven backgrounds. Several groups of different types of star images are processed using proposed method. Comparisons with existing methods are conducted. Experimental results show that MWFM performs excellently under different imaging conditions. The star extraction rate is better than 95%. The star centroid accuracy is better than 0.075 pixels. The time-consumption is also significantly reduced.
机译:星提取是星传感器姿态测量的基本程序。星星提取的巨大挑战是从各种噪声和背景中划分星区。本文提出了一种基于改性水流模型(MWFM)的新型星形提取方法。星形图像被视为3D地形。噪声消除和暂定星面积(TSA)选择采用了形态学。星形区域可以通过在TSAs内流动的自适应水来提取。这种方法可以在复杂的条件下实现精确的星形提取,如巨大的噪音和不均匀的背景下的复杂条件下。使用所提出的方法处理几组不同类型的恒星图像。进行现有方法的比较。实验结果表明,MWFM在不同的成像条件下表现出色。星形提取率优于95%。星形质精度优于0.075像素。时间消耗也显着降低。

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