Research On Efficient Processing Technologies Of Area Array Laser Imaging Radar Big Data

With the development of information technology,the application of laser imaging radar in target detection is becoming increasingly widespread.Traditional laser imaging radar usually uses the method of increasing the pixel size of the detector to obtain a large amount of data for high-resolution imaging,which has the problem of low pixel utilization.Laser imaging radar data has the characteristics of diverse types and large data volume,making it difficult to efficiently manage.In response to the above issues,this article studies the encoding and decoding methods of area array laser imaging radar and designs a prototype system for big data management of laser imaging radar.The main work of the thesis includes:(1)Research on the Method of Array Laser Encoding and DecodingIn response to the problem that the imaging resolution of traditional imaging Li DAR is limited by the size of detector pixels,an area array laser encoding and decoding method was studied to improve pixel utilization.Firstly,based on the principle of pixel multiplexing in linear arrays,the principle of pixel multiplexing in planar arrays is described.Then,based on code division multiple access technology and pixel multiplexing principle,an N-bit encoding structure for area array laser pulses was designed;In the decoding structure,an eigen code group was designed based on Walsh Hadamard,and data with encoded information was demodulated using the eigen group.Finally,a corresponding area array laser encoding and decoding structure was designed.(2)Simulation Experiment of Array Laser Encoding and DecodingAccording to the above array laser encoding and decoding method,under the condition of pixel size M,set the encoding bit to N,obtain radar imaging data of different scale data amounts,and perform simulation imaging.Using KMeta data processing software,point cloud images of different resolutions were generated.Using the Cloud Compare tool,convert simulated imaging data into las,laz international standard Li DAR data formats for storage.(3)Laser Imaging Radar Big Data Management Prototype SystemIn order to achieve systematic and efficient management of LIDAR big data,a prototype system for LIDAR big data management was designed and implemented based on the Xinchuang platform and open source technology.In response to the storage and management requirements of Li DAR big data,secondary storage has been designed and implemented to classify,store,and effectively manage Li DAR imaging data.The prototype system has functions such as user management,user operation log management,Li DAR imaging data import and download,and retrieval by data category and time conditions.