TY  - BOOK
AU  - Soni, Siddharth (PT201517)
AU  - Reddy, Chetan (Guide)
AU  - Shroff, Vichar (Guide)
AU  - Vyas, Anjana (Guide)
TI  - Feature extraction from point cloud generated using UAV based photogrammetry (Softcopy is also available) 
U1  - MG TH-0183 
PY  - 2019///
N1  - Table of Contents 
Certificate of Original Authorship   i 
Certificate of Dissertation - Advisor’s consent   iii 
Certificate of Dissertation - Program Chair   v 
Acknowledgments  vii 
Abstract   ix 
List of figures   xi 
List of tables   xv 
1 INTRODUCTION   1 
1.1 Drone Survey   2 
1.1.1 Orthomosaic   3 
1.1.2 Point Cloud   3 
1.1.3 DEM and DSM   3 
1.1.4 Textured Mesh   3 
1.2 Research Problems   4 
1.2.1 Complex Scene   4 
1.2.2 Lack of Conformity   4 
1.2.3 Complex Geometry   4 
1.3 Goal and Objectives   5 
1.4 Scope and Limitations   5 
1.5 Need for Study   6 
1.6 Thesis Outline   6 
2 LITERATURE REVIEW   9 
2.1 Building Detection from Satellite Images   9 
2.2 Building Detection from Aerial Images   10 
2.3 Building Detection from High Density Point Clouds   11 
2.4 Conclusions   12 
3 DATA ACQUISITION AND PROCESSING IN DRONE SURVEY   13 
3.1 Ground Control Points   13 
3.2 Flight Parameters   14 
3.2.1 Camera Specifications   14 
3.2.2 Flight Path   15 
3.2.3 Flight Height   16 
3.2.4 Front and Side Lap   16 
3.3 Understanding Spatial Resolution with Drones   17 
3.4 Processing of Data   18 
3.4.1 Preprocessing of Images   19 
3.4.2 Structure from Motion Algorithm   19 
3.4.3 3D Scene Reconstruction   21 
4 POINT CLOUD PROCESSING   23 
4.1 Types of Point Cloud   23 
4.1.1 LiDAR   24 
4.1.2 Digital Aerial Photogrammetry   25 
4.2 Point Feature Representation   26 
4.2.1 Normal Estimation   26 
4.2.2 Curvature   27 
4.2.3 Point Feature Histograms   28 
4.3 Point Cloud Segmentation   28 
4.4 Plane Extraction in Point Clouds   28 
4.4.1 Region Growing based Method   29 
4.4.2 Random Sample Consensus   29 
4.4.3 Hough Transform   30 
4.5 Multi-view Registration of Point Cloud  30 
5 RESEARCH METHODOLOGY   31 
5.1 Forming Neighbourhoods   31 
5.2 Tabulate Local Feature Descriptors   32 
5.2.1 Surface Normals   32 
5.2.2 Surface Density   32 
5.2.3 Volume Density   33 
5.2.4 Curvature   33 
5.2.5 Roughness   33 
5.3 Segregate Ground Points and Non Ground Points   33 
5.3.1 Cloth Simulation Filter   33 
5.3.2 Progressive Morphological Filter   34 
5.4 Plane Segmentation using RANSAC   35 
5.5 Identifying Connected Components  35 
5.6 Edge Points Detection   36 
5.7 Boundary Approximation Using Regularization Constraints   36 
5.8 Roof Modelling   36 
5.9 Generating DEM and Contour from Ground Points   37 
6 DATASET   39 
6.1 Initial Image Positions   40 
6.2 Geolocation Details   41 
6.3 Point Cloud Densification and DSM Details   41 
6.4 Subset of Data   42 
7 RESULTS AND OUTPUTS   43 
7.1 Point Cloud Data Formats   43 
7.2 Local Feature Representations   44 
7.2.1 Surface Normals   44 
7.2.2 Number of Neighbours   45 
7.2.3 Curvature     46 
7.2.4 Roughness   47 
7.3 Segregating Ground Points and Non-Ground Points   47 
7.4 Plane Extraction   48 
7.5 Edge Point Detection and Boundary Regularization   49 
7.6 DEM and Contour Generation   50 
7.7 Reconstructed Urban Scene   52 
7.8 Comparison with other methods   53 
8 CONCLUSION   55 
References   57 
Appendix   59

ER  -