Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an emerging application attracting significant attention from researchers in various areas of computer vision. Currently, the major challenge is the development of autonomous operations to complete missions and replace human operators. In this paper, based on the type of analyzing videos and images captured by drones in computer vision, we have reviewed these applications by categorizing them into three groups. The first group is related to remote sensing with challenges such as camera calibration, image matching, and aerial triangulation. The second group is related to drone-autonomous navigation, in which computer vision methods are designed to explore challenges such as flight control, visual localization and mapping, and target tracking and obstacle detection. The third group is dedicated to using images and videos captured by drones in various applications, such as surveillance, agriculture and forestry, animal detection, disaster detection, and face recognition. Since most of the computer vision methods related to the three categories have been designed for real-world conditions, providing real conditions based on drones is impossible. We aim to explore papers that provide a database for these purposes. In the first two groups, some survey papers presented are current. However, the surveys have not been aimed at exploring any databases. This paper presents a complete review of databases in the first two groups and works that used the databases to apply their methods. Vision-based intelligent applications and their databases are explored in the third group, and we discuss open problems and avenues for future research.

分析无人驾驶飞机或无人机拍摄的视频和图像是一种新兴的应用程序，吸引了计算机视觉各个领域的研究人员的极大关注。当前，主要的挑战是发展自主业务以完成任务并取代人工操作员。在本文中，基于分析无人机在计算机视觉中捕获的视频和图像的类型，我们将这些应用程序分为三类来进行综述。第一组与遥感有关，例如相机校准，图像匹配和空中三角测量等挑战。第二组与无人机自主导航有关，其中计算机视觉方法旨在探索挑战，例如飞行控制，视觉定位和制图以及目标跟踪和障碍物检测。第三组致力于在各种应用中使用无人机捕获的图像和视频，例如监视，农业和林业，动物检测，灾难检测和面部识别。由于与这三类相关的大多数计算机视觉方法都是针对实际条件而设计的，因此无法基于无人机提供实际条件。我们旨在探索可为这些目的提供数据库的论文。在前两组中，提出的一些调查论文是最新的。但是，调查并非旨在探索任何数据库。本文对前两组中的数据库进行了全面回顾，并使用数据库来应用其方法。第三组探讨了基于视觉的智能应用程序及其数据库，