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Title: Development of automated image co-registration techniques: Part II - multisensor imagery

Abstract

This is the second in a series of PNNL Multispectral Imagery (ST474D) reports on automated co-registration and rectification of multisensor imagery. In the first report, a semi-automated registration procedure was introduced based on methods proposed by Chen and Lee which emphasized registration of same sensor imagery. The Chen and Lee approach is outlined in Figure 1, and is described in detail in the first report. PNNL made several enhancements to the Chen and Lee approach; these modifications are outlined in Figure 2 and are also described in detail in the first report. The PNNL enhancements to the Chen and Lee approach introduced in the first phase have been named Multisensor Image Registration Automation (MIRA). These improvements increased computational efficiency and offered additional algorithms for coarse matching of disparate image types. In the MIRA approach, one set of optimum GCP locations are determined based on a Delaunay triangulation technique using an initial set of GCPs provided by the user, rather than repeating this step for each added control point as is proposed by Chen and Lee. The Chen and Lee approach uses an adjacent pixel difference algorithm for coarse matching patches of the reference image with the source image, while themore » MIRA approach adds other algorithms. Also the MIRA approach checks to determine if the a newly determined GCP fits the existing warping equation.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest Lab., Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Energy Research, Washington, DC (United States)
OSTI Identifier:
417000
Report Number(s):
PNNL-11383
ON: DE97050540; TRN: 97:000281
DOE Contract Number:
AC06-76RL01830
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: Oct 1996
Country of Publication:
United States
Language:
English
Subject:
99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; IMAGES; M CODES; ALGORITHMS; AUTOMATION; EFFICIENCY; DATA BASE MANAGEMENT; COMPUTER PROGRAM DOCUMENTATION

Citation Formats

Lundeen, T.F., Andrews, A.K., Perry, E.M., Whyatt, M.V., and Steinmaus, K.L. Development of automated image co-registration techniques: Part II - multisensor imagery. United States: N. p., 1996. Web. doi:10.2172/417000.
Lundeen, T.F., Andrews, A.K., Perry, E.M., Whyatt, M.V., & Steinmaus, K.L. Development of automated image co-registration techniques: Part II - multisensor imagery. United States. doi:10.2172/417000.
Lundeen, T.F., Andrews, A.K., Perry, E.M., Whyatt, M.V., and Steinmaus, K.L. 1996. "Development of automated image co-registration techniques: Part II - multisensor imagery". United States. doi:10.2172/417000. https://www.osti.gov/servlets/purl/417000.
@article{osti_417000,
title = {Development of automated image co-registration techniques: Part II - multisensor imagery},
author = {Lundeen, T.F. and Andrews, A.K. and Perry, E.M. and Whyatt, M.V. and Steinmaus, K.L.},
abstractNote = {This is the second in a series of PNNL Multispectral Imagery (ST474D) reports on automated co-registration and rectification of multisensor imagery. In the first report, a semi-automated registration procedure was introduced based on methods proposed by Chen and Lee which emphasized registration of same sensor imagery. The Chen and Lee approach is outlined in Figure 1, and is described in detail in the first report. PNNL made several enhancements to the Chen and Lee approach; these modifications are outlined in Figure 2 and are also described in detail in the first report. The PNNL enhancements to the Chen and Lee approach introduced in the first phase have been named Multisensor Image Registration Automation (MIRA). These improvements increased computational efficiency and offered additional algorithms for coarse matching of disparate image types. In the MIRA approach, one set of optimum GCP locations are determined based on a Delaunay triangulation technique using an initial set of GCPs provided by the user, rather than repeating this step for each added control point as is proposed by Chen and Lee. The Chen and Lee approach uses an adjacent pixel difference algorithm for coarse matching patches of the reference image with the source image, while the MIRA approach adds other algorithms. Also the MIRA approach checks to determine if the a newly determined GCP fits the existing warping equation.},
doi = {10.2172/417000},
journal = {},
number = ,
volume = ,
place = {United States},
year = 1996,
month =
}

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