Vegetation classification method

A classification method and vegetation technology, applied in the field of remote sensing, to achieve the effect of increasing the amount of collected information and improving classification accuracy

Pending Publication Date: 2022-03-22
贵州华图科技有限公司
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  • Application Information

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Problems solved by technology

[0004] In view of this, the purpose of the present invention is to overcome the deficiencies of the prior art and provide a vegetation classification method to solve the problem that the vegetation cannot be monitored all day and all day long in the prior art

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Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0038] figure 1 It is a flow chart of a vegetation classification method shown according to an exemplary embodiment, such as figure 1 As shown, the method can be used but not limited to the terminal, including the following steps:

[0039] Step 101: use the aircraft to carry out cross flight back and forth in the area to be measured, so as to collect the full polarization data of the area to be measured; wherein, such as figure 2 As shown, the flank of the a...

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Abstract

The invention relates to a vegetation classification method, and the method comprises the steps: carrying out the back-and-forth cross flight of a to-be-detected region through an airplane, so as to collect the complete polarization data of the to-be-detected region; wherein the lateral belly part of the airplane is provided with multi-band full-polarization synthetic aperture SAR double antennas; microwave reflection characteristic parameters in the complete polarization data are extracted, and microwave reflection characteristic parameters of the to-be-detected area are obtained; carrying out primary classification on vegetation in the to-be-detected area according to the microwave reflection characteristic parameters of the to-be-detected area; and calculating the vegetation height of the to-be-measured area, and carrying out secondary classification on the vegetation of the to-be-measured area according to the vegetation height of the to-be-measured area to obtain a final vegetation category of the to-be-measured area. According to the technical scheme provided by the invention, all-day and all-weather vegetation monitoring is realized, the monitoring is not influenced by weather, the amount of collected information is increased, and the classification precision is improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and in particular relates to a vegetation classification method. Background technique [0002] Ecological issues have always been concerned by all walks of life. Vegetation is an important part of the ecosystem and has a good function of soil and water conservation and water conservation. Therefore, vegetation monitoring is of great significance to ecological restoration. [0003] Traditional optical images usually contain grayscale information of multiple bands, but it will be affected by the weather, and vegetation cannot be monitored all day and all weather. Moreover, the recognition efficiency is low and the recognition accuracy is poor. Contents of the invention [0004] In view of this, the object of the present invention is to overcome the deficiencies of the prior art, and provide a vegetation classification method to solve the problem that the vegetation cannot be monitored all...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9023
Inventor 申朝永吕一兵周道琴胡利利张斌郑云钊杨思圆
Owner 贵州华图科技有限公司
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