Photon counting-based three-dimensional image signal-noise separation and mixed regularization reconstruction method

Abstract

In order to solve the technical problem that working performance of photo counting detector-adopted three-dimensional imaging laser radars is reduced under strong noise environments, the invention provides a photo counting-based three-dimensional image signal-noise separation and mixed regularization reconstruction method. The method comprises the following steps of: determining a signal cluster set on each pixel by adoption of a sliding time window method and filtering noise counting except time windows of the signal cluster sets; if both signal counting and noise counting do not exist on a certain pixel, constructing a superpixel by replacing a time accumulation process by space accumulation by means of counting information on a neighborhood pixel, and filtering the noise by adoption ofthe sliding tine window method; and finally, reprocessing a preliminary noise-filtered image by utilizing a total variation regular item, wavelet regular item and contourlet regular item combined mixed regularization method, so as to finally obtain a high-quality three-dimensional image. According to the method, signal photos can be effectively separated from noises under strong background noises,so that the rapid and accurate reconstruction of target three-dimensional images is realized.

Description

Technical field [0001] The invention relates to a three-dimensional image signal-to-noise separation and hybrid regularization reconstruction method based on photon counting, which is suitable for a photon counting three-dimensional imaging laser radar system. Background technique [0002] Lidar is an active radar detection system that can accurately and quickly obtain three-dimensional space information of a target. The basic principle is to use a laser to emit high-repetition rate laser pulses to the target to be measured. After being reflected by the target to be measured, the return light The signal undergoes photoelectric conversion and flight time measurement to obtain target reflectance information and distance information, which has a wide range of applications in national defense and civil fields. [0003] The detector used in traditional 3D imaging lidar is generally an avalanche photodiode photodetector working in linear mode, but an avalanche photodiode working in linea...

AI Technical Summary

Problems solved by technology

[0006] Based on the above background technology, in order to solve the technical problem that the performance of 3D imaging lidar using photon counting detectors is degraded in a strong noise environment, the present invention provides a 3D image signal-to-noise separation and hybrid regularization reconstruction based on photon counting In the case of strong background noise, the signal photons can be effectively separated from the noise, and the rapid and accurate reconstruction of the target 3D image can be realized.

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