Gridding visualization method for scanning laser radar detection data

Abstract

The invention discloses a gridding visualization method for scanning laser radar detection data. The gridding visualization method specifically comprises the steps of: 1, defining a region according to a detection scanning distance and a detection angle of scanning laser radar detection data; 2, performing coordinate conversion on polar coordinates of the scanning laser radar detection data, and converting the polar coordinates into a Cartesian product coordinate form V (m, n); 3, standardizing the data V (m, n) by adopting a normalization method to obtain U (m, n); 4, performing interpolationfilling on a data missing position in the U (m, n) by utilizing a vertical and horizontal interpolation method; 5, creating and initializing two-dimensional space color matrix data C (m, n) corresponding to visual graph sizes m and n, and mapping data G (m, n) into the C (m, n) representing numerical value intensity; and 6, drawing numerical values of the C (m, n) to pixel positions by adopting aprogram visualization method by utilizing a corresponding relationship between pixels and the C (m, n). The gridding visualization method improves the precision of data interpolation.

Description

technical field [0001] The invention belongs to the technical field of atmospheric detection laser radar measurement data processing, and in particular relates to a gridded visualization method for scanning laser radar detection data. Background technique [0002] The problem of particulate pollution caused by atmospheric aerosols is the main factor affecting the quality of my country's atmospheric environment. There are many aerosol observation techniques and research methods. The development of lidar as a new technology for active optical remote sensing monitoring has changed the deductive method of the traditional atmospheric aerosol detection method from point to line to surface, and provided a new technology and detection method for atmospheric environment research, overcoming the traditional atmospheric environment. Due to many limitations in the research, it has realized large-space, long-term, multi-scale, and multi-parameter remote sensing and telemetry, which has b...

AI Technical Summary

Problems solved by technology

The traditional lidar data visualization method is mainly aimed at the detection data of the vertical detection method. For the scanning detection data, the data interpolation is only performed in the vertical direction, and the accuracy of the data interpolation caused by the detection angle is rarely considered. In addition, the scanning laser radar In the process of data visualization, most methods directly use data processing software to generate images, and the drawing efficiency is low; and the current method is acceptable in the case of small data size, but the speed of processing and visualization is acceptable when the data volume is large. In the case of , its accuracy and data processing efficiency are not good

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