Unmanned aerial vehicle-adopted rice canopy image processing method

A processing method and UAV technology, applied in the field of image processing, can solve the problems of low signal-to-noise ratio, rice damage, poor rice canopy picture effect, etc. Effect

Inactive Publication Date: 2017-12-12
SHANDONG AGRICULTURAL UNIVERSITY
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Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the traditional shooting is easy to cause damage to the rice, and at the same time, the image of the rice canopy is not good, the signal-to-noise ratio is low, and the details of the dark part of the image are not clear

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  • Unmanned aerial vehicle-adopted rice canopy image processing method

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0048] The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0049] Such as figure 1 Shown, the rice canopy image processing method that adopts unmanned aerial vehicle that the embodiment of the present invention provides comprises the following steps:

[0050] S101. Fix the camera on the drone, control the main optical axis of the drone lens to form an angle of 57 degrees with the vertical plane of the rice canopy, and shoot the original color image of the rice canopy from above the rice canopy;

[0051] S102. Acquire a...

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Abstract

The invention belongs to the field of picture processing, and discloses an unmanned aerial vehicle-adopted rice canopy image processing method. The method comprises the following steps of: fixing a camera on an unmanned aerial vehicle; obtaining an initial shot picture; processing pixel points of the picture; generating a shot picture of the present time; carrying out grey processing on a color image; eliminating image noise; extracting a canopy porosity; and calculating a leaf area index. According to the method, equipment and wildly picked rice leaves are prevented from destructive artificial measurement, and through the unmanned aerial vehicle, rice canopies LAI can be rapidly obtained in real time, so that basic parameters are provided for real-time monitoring of rice growth vigor and remote-sensing yield estimation of rice. Comprehensive calculation is carried out a picture shot by initial exposure and one or more pictures shot by exposure on the basis of a relatively large exposure value, and compensation is carried out by taking the pixel points as units, so that signal to noise ratios of the pictures can be effectively enhanced, shade details of the pictures can be remarkably enhanced, and machine upgrading does not need to be carried out so that the cost is relatively low.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a rice canopy image processing method using an unmanned aerial vehicle. Background technique [0002] Rice is one of the most important food crops in my country. Rice leaves are the main place where rice interacts with the external environment. Many biophysical processes in rice, including photosynthesis, respiration, transpiration, and precipitation interception, take place in leaves. Leaf area index (LAI) reflects the total area of ​​plant leaves per unit surface. It determines the ability of rice to utilize and manage radiation, water, etc. Therefore, LAI is an important indicator to reflect the growth status of rice and estimate the rice yield; however, the effect of obtaining rice canopy pictures is not good, the signal-to-noise ratio is low, and the dark details of the pictures are not clear. [0003] To sum up, the problems existing in the existing ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/62G06T7/60G06T5/00
CPCG06T5/002G06T7/60G06T7/62G06T2207/10024G06T2207/10032G06T2207/30188
Inventor 王震荆林龙刘双喜王金星
Owner SHANDONG AGRICULTURAL UNIVERSITY
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