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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Automatic Extraction of Ellipsoidal Features for Planetary Image Registration
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Automatic Extraction of Ellipsoidal Features for Planetary Image Registration

机译:自动提取椭球特征进行行星图像配准

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摘要

With the launch of several planetary missions in the last decade, a large amount of planetary images has been already acquired and much more will be available for analysis in the coming years. The image data need to be analyzed, preferably by automatic processing techniques because of the huge amount of data. Although many automatic feature extraction methods have been proposed and utilized for earth remote sensing images, these methods are not always applicable to planetary data that often present low contrast and uneven illumination characteristics. Here, we propose a new unsupervised method for the extraction of different features of elliptical and geometrically compact shapes, such as craters and rocks of compact shape (e.g., boulders), to be used for image registration purposes. This approach is based on the combination of several image processing techniques, including watershed segmentation and the generalized Hough transform. The method potentially has application for extraction of craters, rocks, and other geological features.
机译:在过去的十年中,随着几个行星任务的发射,已经获得了大量的行星图像,并且在未来几年中将有更多的行星图像可供分析。由于数据量巨大,因此需要分析图像数据,最好通过自动处理技术进行分析。尽管已经提出了许多自动特征提取方法并将其用于地球遥感图像,但是这些方法并不总是适用于通常表现出低对比度和不均匀照明特性的行星数据。在这里,我们提出了一种新的无监督方法,用于提取椭圆形和几何紧凑形状的不同特征,例如紧凑形状的陨石坑和岩石(例如,巨石),用于图像配准。该方法基于几种图像处理技术的结合,包括分水岭分割和广义霍夫变换。该方法潜在地可用于提取火山口,岩石和其他地质特征。

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