[collection] Introduction to basic knowledge of point cloud and functions of point cloud catalyst software

【 A collection 】 Point cloud intelligent processing
This article is from the wechat official account of point cloud catalyst

01	Research progress and Prospect of intelligent classification of point cloud
02	Point cloud catalysts , Catalyzing your point cloud —— The software is introduced ( On )
03	Point cloud catalysts , Catalyzing your point cloud —— The software is introduced ( Next )
04	Entity based point cloud intelligent processing catalyzes the industrial application process from point cloud data to information
05	Point cloud spatial data organization —— Octree
06	airborne LiDAR Multi echo information analysis of data and its application in filtering
07	Airborne LIDAR point cloud multi entity multi-level classification method
08	utilize KD- Research on the method of eliminating airborne radar point cloud gross error by tree
09	LAS Data structure introduction
10	Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ One ）
11	Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ Two ）
12	Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ 3、 ... and ）
13	Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ Four ）
14	Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ 5、 ... and ）
15	Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ 6、 ... and ）
16	Airborne laser radar principle and application science （ One ）
17	Airborne laser radar principle and application science （ Two ）
18	Airborne laser radar principle and application science （ 3、 ... and ）
19	Airborne laser radar principle and application science （ Four ）
20	Airborne laser radar principle and application science （ 5、 ... and ）
21	Airborne laser radar principle and application science （ 6、 ... and ）
22	Airborne laser radar principle and application science （ 7、 ... and ）
23	Airborne laser radar principle and application science （ 8、 ... and ）
24	Airborne laser radar principle and application science （ Nine ）
25	Airborne laser radar principle and application science （ Ten ）
26	Airborne laser radar principle and application science （ 11、 ... and ）
27	Airborne laser radar principle and application science （ Twelve ）
28	Characteristics of waveform data and its processing
29	LiDAR Point cloud data and its processing
30	airborne LiDAR Characteristics of data
31	airborne LiDAR The organization of data
32	airborne LiDAR Technical characteristics
33	airborne LiDAR Data error source analysis
34	The influence of laser ranging error on laser foot positioning
35	2020 Years of project experience sharing ：20 Centimeter thick UAV LIDAR point cloud , Can we build a large-scale digital elevation model of the river ？
36	​PCA/PCC One click ultra-high density UAV in the software LiDAR Point cloud filtering and fine terrain extraction
37	airborne LiDAR Data system error elimination
38	airborne Lidar Research on data filtering methods
39	Analysis of filtering difficulties
40	Dajiang meditation L1 And point cloud characteristic analysis
41	The development of laser radar

01 Research progress and Prospect of intelligent classification of point cloud

Point clouds are currently photogrammetric 、 remote sensing 、 One of the data sources widely used in many fields such as computer vision , Information extraction is point cloud processing 、 Analysis and application of the necessary links . So , Academia has proposed a large number of point cloud information extraction methods . This paper starts with primitive types 、 The extracted features 、 Feature selection and classifier, etc 3 This paper summarizes the research status of point cloud information extraction from three perspectives , The existing problems of point cloud information extraction are summarized 5 Major issues , It points out the of point cloud information extraction 6 There are two main trends , And emphatically introduces “ Point cloud information extraction paradigm integrating multi primitives ”.

02 Point cloud catalysts , Catalyzing your point cloud —— The software is introduced ( On )

Point cloud catalyst is a software package for intelligent post-processing and analysis of point cloud data , It includes point cloud processing and point cloud visualization , This paper introduces the background and characteristics of point cloud catalyst .

03 Point cloud catalysts , Catalyzing your point cloud —— The software is introduced ( Next )

This article introduces the computer configuration required by the point cloud catalyst software and the one click function instructions , Finally, the case study .

04 Entity based point cloud intelligent processing catalyzes the industrial application process from point cloud data to information

This paper mainly introduces the research progress of point cloud processing , Include ： Using multiple primitives （ Basic processing unit ） Point cloud processing and analysis - Point clouds with significant differences in characteristics 、 Fine terrain extraction （ Object based filtering method ）、 Airborne point cloud single wood segmentation 、 Information extraction and 3D reconstruction 、 Surface growth method for plane accurate extraction , The functional characteristics and case analysis of point cloud catalyst software are introduced .

05 Point cloud spatial data organization —— Octree

Introduce the basic logic and implementation code of octree

06 airborne LiDAR Multi echo information analysis of data and its application in filtering

In this paper, the airborne LiDAR Multi echo characteristics of laser data acquired by the system , This paper expounds the function of multi echo information in revealing the type information of ground objects , The multi echo characteristic is used to reduce the number of laser feet involved in filtering . Experimental proof , The filtering scheme proposed in this paper , Most of the vegetation laser footprints and some of the building laser footprints can be removed in advance , This reduces the amount of data involved in filtering , It can also improve the filtering effect of the filtering algorithm on buildings and vegetation .

07 Airborne LIDAR point cloud multi entity multi-level classification method

Point cloud classification is used for Airborne LIDAR point cloud target extraction 、 The premise of application such as model reconstruction , It has been extensively studied . at present , These studies are classified according to their classification strategies , It can be divided into three categories , That is, point by point classification 、 Point cloud classification based on segmentation 、 Multi entity point cloud classification . Besides , Existing studies have designed a large number of classification features for point clouds , Used to describe point neighborhood and split patch attributes , And then increase the distinguishability of the classification process .

08 utilize KD- Research on the method of eliminating airborne radar point cloud gross error by tree

Gross error elimination is airborne LiDAR One of the key steps in point cloud data post-processing , It has an important impact on the subsequent filtering operation . However, the existing gross error elimination methods have the disadvantages of requiring a lot of manual intervention or poor universality . In this paper, the height histogram is used to eliminate the significant high position 、 On the basis of low gross error , utilize KD- Tree organization airborne LiDAR Point cloud data , By judging the current point and its k The average distance of the nearest points is derived from the adaptive recognition coarse error .

09 LAS Data structure introduction

Airborne radar technology as a high-precision three-dimensional ground object detection means , The corresponding data format is also developing . American Society for Photogrammetry and remote sensing LIDAR Committee and 2003 The standard was issued in LIDAR data format LAS, This article aims to analyze and popularize science LAS Internal storage of data format .

10 Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ One ）

In the field of Surveying and Mapping , Laser radar （LiDAR） Measurement technology is known as "the successor" GPS Another technological revolution after technology . Based on the type of carrying platform , It can be subdivided into onboard 、 airborne 、 ground / The foundation 、 vehicle 、 knapsack 、 On board LiDAR etc. . among , airborne LiDAR Measurement techniques are common , It is mainly used to obtain the high accuracy of the measured area 、 High resolution digital elevation model 、 Digital surface model 、 Power line inspection 、 Forestry resources survey 、 City 3D model making, etc . at present , airborne LiDAR It can be further subdivided into man-machine LiDAR、 Unmanned aerial vehicle (uav) LiDAR, And drones LiDAR It is the hot spot of development in recent years .

11 Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ Two ）

At present, on-board LiDAR The cognition of point cloud density also has the following 10 There are still disputes 、 Issues that need to be highlighted , This article will carry on the concrete analysis .

12 Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ 3、 ... and ）

Point cloud catalyst software point cloud visualization effect display

13 Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ Four ）

Dense drones LiDAR Point clouds are mapping 、 Land use / Ground cover 、 Smart city 、 Power line inspection 、 Forestry resources investigation and other fields have a wide range of applications , It is mainly reflected in the products that can generate higher resolution 、 More precise target recognition and 3D reconstruction effect .

14 Dense UAV LIDAR point cloud data processing and analysis methods and tools popular science series （ 5、 ... and ）

Dense drones LiDAR Problems faced by point cloud ： Large amount of data 、 Lack of talent 、 Most airborne LiDAR The point cloud data processing and analysis tools do not match the dense point cloud well .

15 Airborne laser radar principle and application science （ 6、 ... and ）

The laser scanner consists of a laser ranging unit 、 Optical mechanical scanning unit and control device 、 monitoring 、 Recording unit, etc .

16 Airborne laser radar principle and application science （ One ）

Airborne lidar (Light Detection AndRanging,LiDAR) Integrated GPS (Global Positioning System,GPS)、 Inertial navigation system (Inertial NavigationSystem,INS)、 Laser ranging system (Laser Scanning Ranging), It can quickly obtain the three-dimensional coordinate information of surface objects . As a real-time acquisition means of three-dimensional spatial information , In the last century 90 A major breakthrough was made in the s , Its unique working mode and data processing method have been widely concerned by experts at home and abroad .

17 Airborne laser radar principle and application science （ Two ）

Introduce the development of ranging , Development history of software and hardware , Development history at home and abroad .

18 Airborne laser radar principle and application science （ 3、 ... and ）

The main application fields of airborne lidar

19 Airborne laser radar principle and application science （ Four ）

airborne LiDAR Hot spots and difficulties in the research of

20 Airborne laser radar Science Series （ 5、 ... and ）

System composition of airborne lidar

21 Airborne laser radar principle and application science （ 6、 ... and ）

The laser scanner consists of a laser ranging unit 、 Optical mechanical scanning unit and control device 、 monitoring 、 Recording unit, etc .

22 Airborne laser radar principle and application science （ 7、 ... and ）

The principle and equation of airborne lidar system for ground positioning

23 Airborne laser radar principle and application science （ 8、 ... and ）

Production process of airborne lidar measurement

24 Airborne laser radar principle and application science （ Nine ）

Data preprocessing

25 Airborne laser radar principle and application science （ Ten ）

Data post-processing

26 Airborne laser radar principle and application science （ 11、 ... and ） Add link description

Data composition

27 Airborne laser radar principle and application science （ Twelve ）

Characteristics and processing of intensity information data

28 Characteristics of waveform data and its processing

Processing method of waveform data ： The first is the threshold method , The second is the waveform decomposition method , The third is deconvolution

29 LiDAR Point cloud data and its processing

Point cloud data is LiDAR Main data of , Especially in the early days LiDAR Data processing is conducted for point cloud data . airborne LiDAR The distribution of laser foot points is sampled and stored according to time series , Its distribution on the ground is not regular , Its spatial distribution is presented as discrete data “ Point cloud ”. These points , Some points are on the real toposurface , Some are located on different features （ House 、 pipeline 、 Chimney, etc ）, Some fell on the vegetation （ Count wood 、 shrub 、 The grass ) etc. .

30 airborne LiDAR Characteristics of data

airborne LiDAR The acquisition of data has the advantage that it is not limited by geographical terrain 、 Less affected by the weather 、 Fast data acquisition speed 、 High accuracy of measurement data 、 The cost of field work is low 、 High degree of automation in data processing .

31 airborne LiDAR The organization of data

Generally airborne LiDAR Large amount of data , How to organize these data effectively directly affects the efficiency and accuracy of data processing . at present , A variety of airborne LiDAR The organization of data , Each data organization has its own advantages and disadvantages .

32 airborne LiDAR Technical characteristics

LiDAR The system is an advanced active sensing system , It uses laser as the carrier of sensing .LiDAR The system itself emits a controlled laser to irradiate the ground and targets on the ground , And then receive the backscatter from the ground target .LiDAR The system is different from multispectral scanning system and aerial camera system , It doesn't depend on the sun , Therefore, it is a system that can obtain ground digital three-dimensional information day and night .

33 airborne LiDAR Data error source analysis