Semiautomated landscape feature extraction and modeling

Anthony A. Wasilewski; Nickolas L. Faust; William Ribarsky

doi:10.1117/12.438127

23 August 2001 Semiautomated landscape feature extraction and modeling

Anthony A. Wasilewski, Nickolas L. Faust, William Ribarsky

Proceedings Volume 4368, Visualization of Temporal and Spatial Data for Civilian and Defense Applications; (2001) https://doi.org/10.1117/12.438127
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Anthony A. Wasilewski, Nickolas L. Faust, and William Ribarsky "Semiautomated landscape feature extraction and modeling", Proc. SPIE 4368, Visualization of Temporal and Spatial Data for Civilian and Defense Applications, (23 August 2001); https://doi.org/10.1117/12.438127

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KEYWORDS

Visualization

Feature extraction

Buildings

3D modeling

Navigation systems

3D image processing

Databases

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