Abstract: The present invention provides a target detection method and an unmanned aerial vehicle. The method includes: obtaining an image of a target, and obtaining a feature model of the target according to the image of the target; determining whether the target is lost; and if it is determined that the target is lost: obtaining a currently photographed first frame of image; obtaining an Nth frame of image which is photographed after the first frame of image, N being an integer greater than 0; obtaining, according to the first frame of image and the Nth frame of image, a candidate area which possibly includes the target; and determining, according to the feature model of the target and the candidate area, whether the Nth frame of image includes the target. A detection efficiency is high by using the target detection method provided in the present invention.

Abstract: Embodiments of the present disclosure disclose a water surface detection method, an unmanned aerial vehicle landing method and an unmanned aerial vehicle. The detection method includes: controlling the unmanned aerial vehicle to generate an airflow, where the airflow is used to generate a water surface ripple; obtaining an image of a landing area of the unmanned aerial vehicle and a flight parameter of the unmanned aerial vehicle; and processing the image, and determining, with reference to the flight parameter, whether the landing area has the water surface ripple. Damage caused by erroneous landing of the unmanned aerial vehicle on a water surface can be alleviated by determining whether the landing area has the water surface.

Abstract: The present invention provides a target detection method and an unmanned aerial vehicle. The method includes: obtaining an image of a target, and obtaining a feature model of the target according to the image of the target; determining whether the target is lost; and if it is determined that the target is lost: obtaining a currently photographed first frame of image; obtaining an Nth frame of image which is photographed after the first frame of image, N being an integer greater than 0; obtaining, according to the first frame of image and the Nth frame of image, a candidate area which possibly includes the target; and determining, according to the feature model of the target and the candidate area, whether the Nth frame of image includes the target. A detection efficiency is high by using the target detection method provided in the present invention.

Abstract: Embodiments of the present disclosure disclose a water surface detection method, an unmanned aerial vehicle landing method and an unmanned aerial vehicle. The detection method includes: controlling the unmanned aerial vehicle to generate an airflow, where the airflow is used to generate a water surface ripple; obtaining an image of a landing area of the unmanned aerial vehicle and a flight parameter of the unmanned aerial vehicle; and processing the image, and determining, with reference to the flight parameter, whether the landing area has the water surface ripple. Damage caused by erroneous landing of the unmanned aerial vehicle on a water surface can be alleviated by determining whether the landing area has the water surface.