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  • Car detection is an important research area in computer vision that has drawn the attention of many researchers as it can be exploited in various applications, such as security, military, traffic-monitoring and urban planning applications.

    The reason for this is that there are great differences in appearance, size, and external boundaries among cars in addition to the strong dependence of their appearance on the viewing angle.

    Nevertheless, differences among the external boundaries of cars are less when cars are captured from a top view by airborne vehicles or satellites than the cases of front, side or rear views. Based on this and on the current availability of several commercial earth-observation satellites [1], and unmanned aerial vehicles that provide high-resolution aerialimages with a ground sample distance (GSD) of the order of few centimetres, ourgoal is to develop a car-detection framework that can operate reliably in real urban scenes captured by satellites.

  • Преимущественно это предложение:

    The reason for this is that there are great differences in appearance, size, and external boundaries among cars in addition to the strong dependence of their appearance on the viewing angle.

  • Причина этого в том, что существуют огромные различия во внешнем виде, размере и внешних контурах? машин, вдобавок к сильной зависимости их внешнего вида от угла зрения.