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Proceedings Paper

Automated vector-to-raster image registration
Author(s): Boris Kovalerchuk; Peter Doucette; Gamal Seedahmed; Robert Brigantic; Michael Kovalerchuk; Brian Graff
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Paper Abstract

The variability of panchromatic and multispectral images, vector data (maps) and DEM models is growing. Accordingly, the requests and challenges are growing to correlate, match, co-register, and fuse them. Data to be integrated may have inaccurate and contradictory geo-references or not have them at all. Alignment of vector (feature) and raster (image) geospatial data is a difficult and time-consuming process when transformational relationships between the two are nonlinear. The robust solutions and commercial software products that address current challenges do not yet exist. In the proposed approach for Vector-to-Raster Registration (VRR) the candidate features are auto-extracted from imagery, vectorized, and compared against existing vector layer(s) to be registered. Given that available automated feature extraction (AFE) methods quite often produce false features and miss some features, we use additional information to improve AFE. This information is the existing vector data, but the vector data are not perfect as well. To deal with this problem the VRR process uses an algebraic structural algorithm (ASA), similarity transformation of local features algorithm (STLF), and a multi-loop process that repeats (AFE-VRR) process several times. The experiments show that it was successful in registering road vectors to commercial panchromatic and multi-spectral imagery.

Paper Details

Date Published: 2 May 2008
PDF: 12 pages
Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69660W (2 May 2008); doi: 10.1117/12.778431
Show Author Affiliations
Boris Kovalerchuk, Central Washington Univ. (United States)
BFK Systems (United States)
Peter Doucette, ITT Advanced Engineering & Sciences (United States)
Gamal Seedahmed, NG4 (United States)
Robert Brigantic, Battelle Pacific Northwest Division (United States)
Michael Kovalerchuk, BFK Systems (United States)
Brian Graff, U.S. Army Topographic Engineering Ctr. (United States)

Published in SPIE Proceedings Vol. 6966:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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