Virtual Target Overlay Technique by Matching 3D Satellite Image and Sensor Image


The KIPS Transactions:PartD, Vol. 11, No. 6, pp. 1259-1268, Oct. 2004
10.3745/KIPSTD.2004.11.6.1259,   PDF Download:

Abstract

To organize training in limited training area for an actual combat, realistic training simulation plugged in by various battle conditions is essential. In this paper, we propose a virtual target overlay technique which does not use a virtual image, but projects a virtual target on ground-based CCD image by appointed scenario for a realistic training simulation. In the proposed method, we create a realistic 3D model (for an instructor) by using high resolution Geographic Tag Image File Format(GeoTIFF) satellite image and Digital Terrain Elevation Data (DTED), and extract the road area from a given CCD image (for both an instructor and a trainee). Satellite images and ground-based sensor images have many differences in observation position, resolution, and scale, thus yielding many difficulties in feature-based matching. Hence, we propose a moving synchronization technique that projects the target on the sensor image according to the marked moving path on 3D satellite image by applying Thin-Plate Spline(TPS) interpolation function, which is an image warping function, on the two given sets of corresponding control point pair. To show the experimental result of the proposed method, we employed two Pentium4 1.8MHz personal computer systems equipped with 512MBs of RAM, and the satellite and sensor images of Daejoen area are also been utilized. The experimental result revealed the effectiveness of proposed algorithm.


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Cite this article
[IEEE Style]
J. H. Cha, H. J. Jang, Y. W. Park, G. Y. Kim, H. I. Choi, "Virtual Target Overlay Technique by Matching 3D Satellite Image and Sensor Image," The KIPS Transactions:PartD, vol. 11, no. 6, pp. 1259-1268, 2004. DOI: 10.3745/KIPSTD.2004.11.6.1259.

[ACM Style]
Jeong Hee Cha, Hyo Jong Jang, Yong Woon Park, Gye Young Kim, and Hyung Il Choi. 2004. Virtual Target Overlay Technique by Matching 3D Satellite Image and Sensor Image. The KIPS Transactions:PartD, 11, 6, (2004), 1259-1268. DOI: 10.3745/KIPSTD.2004.11.6.1259.