Method of detecting hidden ground objects under vegetation background based on unmanned gyroplane

A technology of unmanned rotor and detection method, which is applied in the detection field of hidden ground objects under the background of vegetation, can solve the problem that the vegetation index cannot accurately detect hidden ground objects, and achieve good detection effect

Inactive Publication Date: 2020-02-14
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

However, the characteristics of the vegetation index collected purely through satellite remote sens

Method used

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  • Method of detecting hidden ground objects under vegetation background based on unmanned gyroplane
  • Method of detecting hidden ground objects under vegetation background based on unmanned gyroplane
  • Method of detecting hidden ground objects under vegetation background based on unmanned gyroplane

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Embodiment 1

[0024] In this example, the detection and identification of hidden targets with vegetation as the background is carried out in the Huairou area of ​​Beijing based on the Rotary Wing UAV carrying the Headwall high-resolution imaging spectrometer and satellites with hyperspectral resolution (such as carbon satellites). The drone with high load (such as DJI T16 unmanned aircraft) is selected, and the overall structure is reshaped by the T16 plant protection unmanned aircraft. The modular design brings the high load and width of DJI DJI unmanned aircraft. Spray width. Powerful hardware cooperates with AI intelligent engine technology and 3D operation planning function to improve operation efficiency to a new level.

[0025] Such as image 3 As shown, a method for detecting hidden objects in the vegetation background based on the rotor UAV includes the following steps:

[0026] Step S1: DJI T16 rotor drone equipped with Headwall hyperspectral imaging spectrometer (signal-to-noise...

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Abstract

The invention discloses a method of detecting hidden ground objects under a vegetation background based on an unmanned gyroplane. The method comprises steps of scanning a target area row by row by theunmanned gyroplane carrying a hyperspectral imaging spectrometer, and acquiring spectrum data and storing the data; calculating fluorescence value information of the target area by using a fluorescence extraction algorithm; acquiring a remote sensing high resolution optical remote sensing image of the target area through a satellite, and preprocessing the fluorescence value information and the remote sensing image so as to obtain fluorescence value information; and finally, extracting a fluorescent probe from the fluorescence value information by using Fraunhofer dip method so as to determinewhether the target area has hidden ground objects. The detection method can better detect vegetation camouflage technologies, and can be widely used in the national defense area. The detected chlorophyll fluorescence can be used for indicating physiological and biochemical processes of plant cells, reflects real working states of plant photosynthesis timely and accurately and diagnoses health state of plants.

Description

technical field [0001] The invention belongs to the field of detection of hidden ground objects, and in particular relates to a method for detecting hidden ground objects under a vegetation background based on a rotor drone. Background technique [0002] Camouflage is the use of electronic, electromagnetic, optical, thermal, acoustic and other technical means to change the original characteristic information of military-related targets, reduce or eliminate the detection characteristics of the real target, and realize the "invisibility" of the target; or simulate the target The detection features of the target, or the detection features of the simulated target, imitate the false target to "show false". The basic methods of camouflage include natural camouflage, plant camouflage, camouflage camouflage, artificial barrier camouflage, smoke camouflage and other technologies. Natural camouflage is to make full use of terrain conditions, objects, night or poor visibility weather ...

Claims

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Application Information

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IPC IPC(8): G01V8/10G01N21/64
CPCG01N21/64G01V8/10
Inventor 丑述仁陈斌章杰王鹏夏鲁瑞苏宪程刘甜甜
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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