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Proceedings Paper

Semiautomated landscape feature extraction and modeling
Author(s): Anthony A. Wasilewski; Nickolas L. Faust; William Ribarsky
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Paper Abstract

We have developed a semi-automated procedure for generating correctly located 3D tree objects form overhead imagery. Cross-platform software partitions arbitrarily large, geocorrected and geolocated imagery into management sub- images. The user manually selected tree areas from one or more of these sub-images. Tree group blobs are then narrowed to lines using a special thinning algorithm which retains the topology of the blobs, and also stores the thickness of the parent blob. Maxima along these thinned tree grous are found, and used as individual tree locations within the tree group. Magnitudes of the local maxima are used to scale the radii of the tree objects. Grossly overlapping trees are culled based on a comparison of tree-tree distance to combined radii. Tree color is randomly selected based on the distribution of sample tree pixels, and height is estimated form tree radius. The final tree objects are then inserted into a terrain database which can be navigated by VGIS, a high-resolution global terrain visualization system developed at Georgia Tech.

Paper Details

Date Published: 23 August 2001
PDF: 7 pages
Proc. SPIE 4368, Visualization of Temporal and Spatial Data for Civilian and Defense Applications, (23 August 2001); doi: 10.1117/12.438127
Show Author Affiliations
Anthony A. Wasilewski, Georgia Institute of Technology (United States)
Nickolas L. Faust, Georgia Institute of Technology (United States)
William Ribarsky, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 4368:
Visualization of Temporal and Spatial Data for Civilian and Defense Applications
Glenn O. Allgood; Nickolas L. Faust; Glenn O. Allgood, Editor(s)

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