Abstract

Abstract. Both unmanned aerial vehicle (UAV) technology and Mobile Mapping Systems (MMS) are important techniques for surveying and mapping. In recent years, the UAV technology has seen tremendous interest, both in the mapping community and in many other fields of application. Carrying off-the shelf digital cameras, the UAV can collect high quality aerial optical images for city modeling using photogrammetric techniques. In addition, a MMS can acquire high density point clouds of ground objects along the roads. The UAV, if operated in an aerial mode, has difficulties in acquiring information of ground objects under the trees and along façades of buildings. On the contrary, the MMS collects accurate point clouds of objects from the ground, together with stereo images, but it suffers from system errors due to loss of GPS signals, and also lacks the information of the roofs. Therefore, both technologies are complementary. This paper focuses on the integration of UAV images, MMS point cloud data and terrestrial images to build very high resolution 3D city models. The work we will show is a practical modeling project of the National University of Singapore (NUS) campus, which includes buildings, some of them very high, roads and other man-made objects, dense tropical vegetation and DTM. This is an intermediate report. We present work in progress.

Highlights

  • Today 3D city models are important base datasets for many applications, some more traditional, other quite new

  • This paper focuses on the integration of Unmanned Aerial Vehicles (UAV) images and Mapping Systems (MMS) point clouds to build a very high-resolution 3D city model

  • This paper addresses a project of very high resolution 3D city modeling by integration of UAV images, terrestrial images and MMS data

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Summary

INTRODUCTION

Today 3D city models are important base datasets for many applications, some more traditional, other quite new. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W2, 2013 UAV-g2013, 4 – 6 September 2013, Rostock, Germany of the geo-referencing of point clouds by using UAV image data, (c) modeling buildings with their façades from laser point clouds and terrestrial images, (d) setting an example of integration of these three data sources for 3D city modeling, which, according to our knowledge, has not been done before. Fusion is done both on the level of data processing and data integration

Main Process Workflow
UAV Image Aerial Triangulation
Georeferencing of Point Cloud Data
Building Model Reconstruction using UAV Imagery Data
Façade Modeling
CONCLUSIONS
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