Airborne Lidar Full Waveform Data Decomposition Method

The airborne LiDAR(Light Detection and Ranging)is a kind of new technique in obtaining the 3D information of the earth surface entity,Which can provide precise 3D point clouds.It has a broad application prospect in various fields.With the development of the airborne Lidar systems,several full-waveform(FW)Lidar systems has emerged in recent years,Which can acquire the information of backscattered signal.In addition to geometrical information,It can also provide more feature information.Full-Waveform(FW)Lidar data can reflect the vertical structure of the surface features.Finally,We can obtain the surface feature's physical characteristic information by analysis of the backscattered waveform,This information is useful for the consequent classification of surface features.And the processing of full waveform data is an important part of it,So some researches is conducted to settle this issues.First,we introduced the background,development of the airborne Lidar's data processing.Then the paper gave an introduction of the data features,extraction and preprocess.It also deduced the formula of coordinate's transformation.Data extraction is performed by using relevant procedure.We also illustrated the decomposition theory of full waveform.Meanwhile,the Gaussian decomposition formula is derived.In order to solve the defect of typical algorithm in detection of the weak pulses and overlapping pulses,A new pulse detection algorithm is proposed in this paper.According to massive experiments,The procedures such as peak detection,waveform fitting and decomposition,and gross error disposition is carried out.At last,the weak and overlapping pulses is successfully decomposed and extracted by methods for non-linear least squares problems.Comparison among different waveform detection methods is conducted by analyzing the statistical results.The results are used to create the 3D point cloud by using the coordinate parameters.The real data and simulation data is applied to verify the decomposition results.Finally,The paper summarized the current work and made a prospect to the subsequent work.