A Decomposition Algorithm for Airborne Laser Waveform Data Considering Adjacent Waveform Information

Abstract

The invention discloses an airborne laser waveform data decomposition method considering adjacent waveform information. The method comprises the following steps of: (A), preprocessing waveform data; (B), detecting the pulse wave crest of the waveform data; (C), extracting a significant pulse crest based on a generalized Gaussian model; (D) extracting a candidate pulse crest considering an adjacent waveform; (E) generating a list of the waveforms to be analyzed based on a regional growth strategy; and (F) outputting a waveform decomposition result. According to the method, a high threshold value and a low threshold value are adopted, so that the defect that a single threshold value is difficult to select properly can be overcome, and weak pulse signals in the waveform data can be considered effectively; during waveform decomposition, the candidate pulse crests of the waveforms to be analyzed are analyzed by continuously utilizing the reliable information provided by the significant pulse crests of the adjacent waveforms in a regional growth way, so the robust extraction of the weak pulse crest information can be realized; and therefore, complete point cloud information is acquired.

Description

technical field [0001] The invention relates to the field of surveying and mapping science and technology, and relates to an airborne laser waveform data decomposition algorithm that takes into account adjacent waveform information. This method can effectively detect weak pulse signals in waveform data to obtain more complete point clouds, which is very applicable in heavily vegetated areas. Background technique [0002] Airborne LiDAR (Light Detection And Ranging), also known as airborne laser scanning technology, as a means of real-time acquisition of three-dimensional spatial information, can quickly and accurately acquire surface information in a large area. According to different echo recording methods, airborne lidar systems can be divided into discrete lidar systems and full waveform lidar systems. The former records a limited number of discrete echo signals, while the latter samples and records the laser reflection signal from the target at a small sampling interval...

AI Technical Summary

Problems solved by technology

[0005] Second, weak signals are difficult to reliably detect

When the waveform data is preprocessed with a higher threshold, some weak pulse signals cannot be considered due to insufficient signal strength and cannot be detected

This phenomenon is especially serious in densely vegetated areas. Due to the occlusion of vegetation, the reflected pulse signal of the ground point is relatively weak, which poses a great challenge to the extraction of ground information.

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