Car Laser Point Cloud Color Information To Obtain Fusion

Vehicle-borne Laser Scanning has an immense value in present days for fulfilling the demands of fast and cost-effective data acquisition for digital urban and other mapping related fields. It has flexibility in providing multi temporal, multi-dimensional and multi resolution data and has become central issue of spatial data acquisition.The Vehicle-borne Laser Scanning of multiple sensors comprises of three basic components, viz.Laser Scanner, CCD camera and GPS/IMU. Laser Scanner provides range data (angle and distance from the sensor to each of the observed feature). CCD camera is used for image data and GPS/IMU are used for positioning. Through good space synchronization and time synchronization control, it can obtain 3D laser point clouds and corresponding optical images simultaneously. The true chromatic model of city scene may be realized with the help of integration of laser point clouds and optical images. Data fusing can explain and describe the consistency of urban scene, and show more superior performance. Texture being the most visible, most sensible has a pivotal role.This paper focus on the color data acquisition and processing, discuss how to collect color and improve the visualization of the color from the overall based on available vehicle-borne laser scanning system. The platform and principle of color texture data obtaining are analyzed systematically. Line CCD camera principle of work is explained also. Image data structure and format transformation are defined too. Calibration of Line CCD Camera used Direct Linear Transformation method combined with the view plane and view line equation, because of its unique characteristics. As a key, the mapping model is built between the point clouds and digital images and as a result color point clouds is generated and compare the advantages and disadvantages of fusion based on best scan line between based on hardware. The characteristics of the original color point clouds are stated, numerical interpolation is proposed to ascend the resolution of color point clouds, in order to enhance true color 3D visualization's effect of city scene. Experiments are conducted and the results are clarified. Finally, the interactive applications of point clouds and color texture are summarized, the huge role of color in the applications of point cloud is emphasized.The methods and programs implemented in this paper have practical value and can give good and stable results whether in initial images transformation,fusion between laser data and texture image and interpolation of initial color point clouds or applications of points cloud based on color texture. At the same time, system performance is fully considered.