Ship recognition system and ship recognition method for aerial image pickup of unmanned plane

Abstract

The invention discloses a ship recognition system and a ship recognition method for aerial image pickup of an unmanned plane. The ship recognition system comprises a sea surface aerial image pickup database, a sea surface template selecting module, an automatic background Trimap acquiring module and a Grabcut algorithm module based on a background model. The ship recognition method comprises the following steps of establishing a sea surface template library; establishing an image feature value; selecting templates by using a voting method; designing a method matched with the template so as to grow a high-quality background by using obtained seed points; acquiring a distance threshold value parameter by the information of the template; performing region growing; generating background Trimap according to a background mask picture; initializing a background model of a grabcut algorithm by using the Trimap; and founding out the minimum iterations by which the best effect can be achieved. By the ship recognition system and the ship recognition method, a ship can be accurately and automatically recognized; when an image with a land and a sea surface which are separated from each other is provided by a user, a result processed by the method can be rapidly obtained, and a ship recognition result is obtained.

Description

technical field [0001] The invention relates to an aerial image recognition technology, in particular to a ship identification method for an aerial image of an unmanned aerial vehicle. Background technique [0002] With the application of UAVs in marine, forestry, natural resource supervision and other fields, the use of UAVs for vessel positioning and fishery activity supervision can not only reduce labor costs and complete high-complexity tasks, but also improve the real-time and maneuverability. According to different tasks, UAVs can mount different aerial photography systems such as synthetic aperture radar systems and high-resolution optical cameras. Compared with satellite remote sensing images, UAV aerial photography has the following advantages: good time phase, high resolution, high definition, large stereo tangential overlap, strong autonomy and can be measured. [0003] However, the number of images acquired by a UAV flight is large, the amount of image data is ...

AI Technical Summary

Problems solved by technology

However, automatic processing often loses the recognition accuracy. How to realize the target recognition and positioning of aerial imagery under the premise of ensuring accuracy has become the primary problem in actual demand.

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