Table of Contents

Foreword
Preface
Authors
Chapter 1 Introduction
1.1 Introduction to LiDAR
1.1.1 LiDAR
1.1.2 Characteristics of LiDAR
1.1.3 Classification of LiDAR
1.1.4 Development History of LiDAR
1.2 LiDAR System
1.2.1 LiDAR System Composition
1.2.2 Major Commercial LiDAR Systems
1.2.3 Data Format and Processing Software
1.3 LiDAR Remote Sensing Applications
1.3.1 Topographic Mapping
1.3.2 Forest Resource Investigation
1.3.3 Digital Cities
1.3.4 Digital Power Grid
1.3.5 Crop Monitoring
1.3.6 Cultural Heritage Digitization and Preservation
1.3.7 Unmanned Driving
1.3.8 Transportation Route Planning
1.3.9 Mine Monitoring
1.3.10 Other Applications
1.4 Summary
Exercises
References
Chapter 2 LiDAR Remote Sensing Principles
2.1 LiDAR Ranging Principle
2.1.1 Ranging Principle of Pulsed LiDAR
2.1.2 Ranging Principle of Phased LiDAR
2.1.3 Ranging Precision of LiDAR
2.2 LiDAR Radiation Principle
2.2.1 LiDAR Equation
2.2.2 LiDAR Waveform Model
2.2.3 LiDAR Radiative Transfer Model
2.3 Principles of LiDAR on Different Platforms
2.3.1 Spaceborne LiDAR
2.3.2 Airborne LiDAR
2.3.3 Terrestrial LiDAR
2.4 Principles of LiDAR with Different Methods of Detection and Digitization
2.4.1 Full-Waveform LiDAR
2.4.2 Discrete Return LiDAR
2.4.3 Photon Counting LiDAR
2.5 Influence Mechanism of the Sky on the LiDAR Signal
2.5.1 Effect of Atmosphere
2.5.2 Effect of Sunlight
2.6 Summary
Exercises
References
Chapter 3 LiDAR Data Acquisition
3.1 Airborne LiDAR Data Acquisition
3.1.1 Plan Preparation Stage
3.1.2 Flight Implementation Stage
3.1.3 Data Preprocessing Stage
3.2 Terrestrial LiDAR Data Acquisition
3.2.1 Plan Preparation Stage
3.2.2 Scan Implementation Stage
3.2.3 Data Collection Stage
3.3 Spaceborne LiDAR Data Acquisition
3.3.1 ICESat/GLAS Mission
3.3.2 ICESat-2/ATLAS Mission
3.3.3 GEDI Mission
3.3.4 China's Laser Altimetry Satellite Program
3.4 Summary
Exercises
References
Chapter 4 LiDAR Data Processing
4.1 LiDAR Point Cloud Processing
4.1.1 Point Cloud Denoising
4.1.2 Point Cloud Filtering
4.1.3 Point Cloud Classification
4.2 LiDAR Waveform Processing
4.2.1 Waveform Denoising
4.2.2 Waveform Decomposition
4.2.3 Waveform Deconvolution
4.2.4 Waveform Feature Parameter Extraction
4.3 LiDAR Photon-Counting Processing
4.3.1 Photon-Counting Denoising
4.3.2 Photon-Counting Classification
4.4 Summary
Exercises
References
Chapter 5 LiDAR Remote Sensing Applications
5.1 Topographic Mapping
5.1.1 LiDAR Point Cloud Processing
5.1.2 DEM and DSM Constructions
5.1.3 Contour Line Generation
5.2 Forest Investigation
5.2.1 Individual Tree Parameter Retrievals
5.2.2 Canopy Parameter Retrievals
5.2.3 Forest Parameter Mapping at the Regional Scale
5.2.4 Tree Species Classification
5.3 Power Line Inspection
5.3.1 Transmission Corridor Point Cloud Classification
5.3.23 D Modeling of the Transmission Corridor
5.3.3 Transmission Corridor Safety Analysis
5.4 Building 3D Modeling
5.4.1 Building Point Cloud Extraction
5.4.2 Building Roof Segmentation
5.4.3 Building Contour Extraction
5.4.4 Building Model Generation
5.5 Automatic Driving
5.5.1 Environmental Perception
5.5.2 Autonomous Positioning
5.6 Crop Monitoring
5.6.1 Identification of Corn Planted Area
5.6.2 Identification of Stem and Leaf Points
5.6.3 Estimation of Leaf Angle Distribution
5.6.4 Estimation of Leaf Area Volume Density
5.6.5 Estimation of Factional Absorbed Photosynthetically Active Radiation
5.7 Cultural Heritage Conservation
5.7.1 Cultural Heritage Conservation B