Surface classification method based on single-photon laser radar background noise rate

A background noise and lidar technology, applied in scene recognition, re-radiation of electromagnetic waves, instruments, etc., can solve the problems of low efficiency, low accuracy, and the assumption of unsuitable water surface, etc., to achieve fast calculation speed and small calculation amount. , the effect of large application potential

Active Publication Date: 2019-11-26
WUHAN UNIV
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Problems solved by technology

[0005] Existing methods need to extract signal photons and compare them with high-resolution images for classification, NLCD auxiliary data is essential; and the noise rate threshold for water ice classification based on the background noise rate in the original point cloud data is based on experience At the same time, the current theoretical formula for the surface photon

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  • Surface classification method based on single-photon laser radar background noise rate
  • Surface classification method based on single-photon laser radar background noise rate
  • Surface classification method based on single-photon laser radar background noise rate

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Embodiment 1

[0053] This embodiment provides a surface classification method based on the single-photon lidar background noise rate, please refer to figure 1 , the method includes:

[0054] Step S1: Obtain the system parameters of the single-photon lidar, the environmental parameters during measurement, and the target characteristic parameters.

[0055] Specifically, the single-photon lidar system parameters can include the laser wavelength λ, the effective area of ​​the receiving telescope A r , the telescope receives the half-field angle θ r , the bandwidth of the narrow-band filter Δλ, the comprehensive efficiency of the photoelectric system η; the environmental parameters during measurement include: solar radiance N λ 0 , one-way atmospheric transmittance T a , the solar zenith angle θ s , wind speed w; target characteristic parameters include ground slope σ L , ground reflectance β L , wind wave slope σ W , water surface reflectance β W .

[0056] Among them, the solar radia...

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Abstract

The invention discloses a surface classification method based on a single-photon laser radar background noise rate. On the basis of a mirror reflection theory, an expression of a water surface photonreflection noise rate is proposed is put forward; a background noise rate model is established by combining system parameters, environmental parameters and target characteristic parameters and mathematical expressions of a land background noise rate and a water body background noise rate are given respectively; a surface classification noise rate threshold value is obtained through calculation; and according to significant difference between land and water background noise rates, a statistical noise rate substituted into original point cloud data of the laser radar can be compared with a noiserate threshold to judge the surface type. According to the classification method, the dependence on a digital topographic map or a high-resolution remote sensing image required by the traditional method is eliminated; and used auxiliary data are available. The method having advantages of rapidness and high efficiency can be used for realizing high-precision surface type classification in coastalareas. The method is applied to the MABLE original point cloud data and the classification effect is excellent.

Description

technical field [0001] The invention relates to the technical field of surface classification, in particular to a surface classification method based on the single-photon laser radar background noise rate. Background technique [0002] Due to the higher detection sensitivity and higher repetition rate of photon counters and micropulse lasers, photon counting radars can obtain denser photon point cloud data than traditional full waveform radars. Therefore, in order to make more precise observations of the Earth's surface, NASA launched ICESat-2 (Ice, Cloud, and land Elevation Satellite-2) at the end of 2018 and equipped it with a photon counting radar. However, since photon counting radar is very sensitive to both signal photons and noise photons mainly reflected from the background light of the sun, this makes the original single-photon point cloud data have a lot of noise. Therefore, how to distinguish signal photons from the original point cloud data is a problem. The key...

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Application Information

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IPC IPC(8): G01S17/88G01S7/48G06K9/00G06K9/62
CPCG01S17/88G01S7/48G06V20/13G06F18/24
Inventor 李松刘欣缘马跃张智宇张文豪周辉
Owner WUHAN UNIV
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