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A matching algorithm based on improved SIFT for the air mobility platform

机译:一种基于改进SIFT的空移平台匹配算法

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摘要

The matching of the images, which obtained by the air mobility platform, containing a large amount of image information, requires better real-time performance. The SIFT descriptor vector will be improved in this paper. In addition, preliminary to the matching, the image segmentation will be done by using the Tsallis entropy method. The experimental results show that the proposed algorithm has greatly improved the efficiency without too much damage to the premise of the matching results, and better able to meet the real-time requirements of the processing to the images obtained by the air mobility platform.
机译:由空移平台获得的图像的匹配,其中包含大量图像信息,需要更好的实时性能。本文将改进SIFT描述符载体。另外,对匹配初步,将通过使用TSAllis熵方法来完成图像分割。实验结果表明,该算法大大提高了匹配结果的前提造成的效率,并且能够更好地满足由空运平台获得的图像的处理的实时要求。

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