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16 September 2011 Visual analytics of terrestrial lidar data for cliff erosion assessment on large displays
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Heavy development on cliffs place a heavy emphasis on maintaining a healthy natural environment. The ability to explore, conceptualize and correlate spatial and temporal changes of topographical records, is required for the development of new analytical models that capture the mechanisms contributing towards cliff erosion. This paper presents a visualization based approach using large displays in a digital immersive environment. Visual analytics are performed for cliff erosion assessment from a terrestrial LIDAR (LIght Detection And Ranging) data, including visualization techniques for the delineation, segmentation, and classification of features, change detection and annotation. Research findings are described in the context of a cliff failure observed in Solana Beach in California. The visualization system presented in this paper demonstrates the insights that can be gained by observing the temporal change of a failure mass using frequent site monitoring.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tung-Ju Hsieh, Yang-Lang Chang, and Bormin Huang "Visual analytics of terrestrial lidar data for cliff erosion assessment on large displays", Proc. SPIE 8157, Satellite Data Compression, Communications, and Processing VII, 81570D (16 September 2011);

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