A Framework for the Integration of Remote Sensing Systems for 3D Urban Mapping | ||||
| The International Conference on Civil and Architecture Engineering | ||||
| Article 54, Volume 8, 8th International Conference on Civil and Architecture Engineering, May 2010, Page 1-13 PDF (618.57 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iccae.2010.45110 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ayman Habib; Changjae Kim; Eunju Kwak | ||||
| Department of Geomatics Engineering, University of Calgary, Calgary, Canada. | ||||
| Abstract | ||||
| Abstract: As one of the fields of civil and architecture engineering, 3D urban mapping plays a vital role in various applications such as urban planning, surveillance, virtual reality, virtual tourism, and military training. In this regard, the interest in 3D urban mapping technologies is rapidly increasing within the surveying and photogrammetric community. Such an interest is also motivated by the advent of new technologies, which enable accurate and practical 3D urban mapping. In other words, the proliferation of direct geo-referencing, digital imaging system (including medium-format digital camera) and LiDAR (Light Detection And Ranging) provide the respective research body with the potential to satisfy the detail level and complexity needed by the above applications. Hence, there must be a framework for integrating these different kinds of sensors. The proposed framework in this paper consists of three main components: 1) Quality Assurance/Quality Control; 2) Co-registration; and 3) Element Matching. More specifically, quality assurance of the mapping process and quality control of delivered data/products are the first components of the proposed framework. Quality assurance encompasses management activities to ensure that a process, item, or service is of the quality needed by the user. The key activity in the quality assurance is the system calibration procedure. After the calibration of the involved systems, quality control procedures determine whether the desired quality has been achieved through internal and external evaluation. As the second component of the framework, a registration procedure is conducted to ensure that the datasets from different systems are georeferenced with respect to a common reference frame. After the registration procedure is completed, matching between different information from different systems is carried out to derive realistic 3D urban mapping that takes advantage of the synergistic characteristics of the available datasets. For example, the spectral information from a digital imaging system can be related to the positional information from LiDAR. The paper will illustrate the main components and the necessary activities of the proposed framework with the help of a real dataset. | ||||
| Keywords | ||||
| 3D urban mapping; Quality Assurance/Quality Control; co-registration and element Matching | ||||
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