Adaptive clump target detection method for UAV visible and infrared images
A technology of infrared image and target detection, which is applied in image analysis, image data processing, computer components, etc., to achieve simple and effective results
Active Publication Date: 2016-08-31
北京北航天宇长鹰无人机科技有限公司
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[0006] In order to solve the problems faced by the automatic target detection of multi-load images of drones, the present invention proposes an automatic target detection method based on the essence of the target and does not depend on specific types of images, and at the same time integrates the flight height and imaging parameters of the drone, Create a target size table to adapt to targets of various sizes
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[0023] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0024] The present invention is a target detection method based on reunion and suitable for visible light and infrared images of UAVs. The overall structure schematic diagram is as follows figure 1 As shown, the specific implementation method includes the following steps:
[0025] In the first step, a size table of the target of interest is established according to the flight parameters of the UAV.
[0026] For targets of interest that may appear in drone reconnaissance videos, such as moving vehicles, military buildings, landmarks, etc., the actual size of the target is counted, combined with the drone's flight height measured by the drone's onboard laser ranging unit, As well as the imaging parameters of the UAV imaging payload, the pixel size of the target in the image can be roughly estimated, and then the pixel size table of the target of interest can be formed...
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The invention discloses a global block mass target detecting method suitable unmanned aerial vehicle visible light and infrared images and belongs to the field of image processing. According to the method, from image target nature, based on the aggregation performance of targets, the targets in the image global range are subjected to automatic detecting, the requirements for various image loads of an unmanned aerial vehicle are met, the method does not rely on moving information of the targets, the method is suitable for moving and static targets, meanwhile, parameters of a vehicle-mounted laser range-measurement system of the unmanned aerial vehicle and imaging equipment are used for establishing an interest target template size table, and processing speed is further increased. According to the method, unmanned aerial vehicle multiple load resources can be fully used, and the efficiency and the accuracy of target detecting are improved.
Description
technical field [0001] The invention belongs to the technical field of image processing of unmanned aerial vehicles, and in particular relates to an adaptive blob target detection method suitable for visible light and infrared images of unmanned aerial vehicles. Background technique [0002] With the development of science and technology, drones can carry a variety of image loads (such as visible light, infrared sensors, etc.), and automatic target detection of image data returned by different image sensors is the basis for ensuring that drones have all-weather combat capabilities . UAV images are captured at high altitude and in a moving environment, and have the following characteristics: the target is relatively small compared to the image, the target is diverse and prone to shape changes, and the background is complex and changeable. Combining the above characteristics of UAV images and the application requirements of multiple payloads, it is necessary to study a simple...
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IPC IPC(8): G06T7/00G06K9/32
Inventor 丁文锐刘硕李红光袁永显黎盈婷
Owner 北京北航天宇长鹰无人机科技有限公司