Visual analysis and semantic exploration of urban LIDAR change detection.
Butkiewicz, Thomas.
Chang, Remco.
Wartell, Zachary.
Ribarsky, William.
2008.
- Many previous approaches to detecting urban change from LIDAR point clouds interpolate the points into rasters, perform pixel-based image processing to detect changes, and produce 2D images as output. We present a method of LIDAR change detection that maintains accuracy by only using the raw, irregularly spaced LIDAR points, and extracts relevant changes as individual 3D models. We then utilize ... read morethese models, alongside existing GIS data, within an interactive application that allows the chronological exploration of the changes to an urban environment. A three-tiered level-of-detail system maintains a scale-appropriate, legible visual representation across the entire range of view scales, from individual changes such as buildings and trees, to groups of changes such as new residential developments, deforestation, and construction sites, and finally to larger regions such as neighborhoods and districts of a city that are emerging or undergoing revitalization. Tools are provided to assist the visual analysis by urban planners and historians through semantic categorization and filtering of the changes presented. This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.read less
- Butkiewicz, Thomas, Remco Chang, Zachary Wartell, and William Ribarsky. "Visual Analysis and Semantic Exploration of Urban LIDAR Change Detection." Computer Graphics Forum 27, no. 3 (May 2008): 903-910. doi:10.1111/j.1467-8659.2008.01223.x.
- ID:
- 0v838b57j
- To Cite:
- TARC Citation Guide EndNote
- Usage:
- Detailed Rights
