Method and system for fast point cloud data processing and target image matching

Abstract

The invention provides a rapid point cloud data processing and target image matching method and system, belongs to the technical field of software algorithms, and solves the problems that in the prior art, an image formed by a laser radar is low in resolution, and color information of an object cannot be obtained. The method comprises the following steps: removing solar background noise points in point cloud data; after denoising, classifying ground points and non-ground points; according to the classified point cloud data, dividing a spatial region into square grids or longitude and latitude arrays at regular intervals by using regular grids to establish a digital elevation model; performing smooth de-noising processing on the digital elevation model to obtain a de-noised three-dimensional digital elevation model; and correspondingly assigning the color information in the two-dimensional visible light image to the three-dimensional digital elevation model based on the extracted feature points of the denoised three-dimensional digital elevation model and the feature points of the two-dimensional visible light image in the corresponding area to obtain a final target image. The method is used for fusion of the point cloud data and the visible light image.

Description

technical field [0001] A method and system for fast point cloud data processing and target image matching are used for the fusion of point cloud data and visible light images, and belong to the technical field of software algorithms. Background technique [0002] 3D imaging lidar generally adopts a linear detection system, and uses a laser rangefinder to fuse distance information and azimuth coordinates to generate target 3D point cloud data with detailed distance information. Space-borne 3D lidar imaging radar is a typical application of lidar systems, which can acquire high-precision 3D terrain data in a large area and a wide area within a limited time, and laser pulses can partially penetrate vegetation occlusion, so as to obtain ground elevation and reconstruct The three-dimensional topography of the surface can even be reversed to show the evolution of surface vegetation, which has great advantages over traditional surveying and mapping. However, in the fields of high-...

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