根据卫星气象专家目视识别，在四个通道的图像上目视选取了北极冰雪样本2366个、云2024个，陆地1602个，水体1648个。

According to the experts' experience, 2366 snow and ice samples, 2024 cloud samples, 1602 land samples and 1648 water samples were selected randomly from arctic imageries.

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实验证明，该方法对单目视频中不同角度的行为动作有较高的识别率。

The experiments show that it has good recognition rate for activity of different view angles from monocular videos.

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提出了一种采用单目视觉和多超声传感器来识别门牌号的室内移动机器人全局自定位方法和导航策略。

This paper proposes a global self-localization method and navigation strategies for indoor mobile robot, based on monocular vision and multi-sonar sensors to recognize the doorplate.

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