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Two-Dimensional Change Detection MethodsFusion of Change Detection Methods

Two-Dimensional Change Detection Methods: Fusion of Change Detection Methods [In previous chapters, we introduced several change detection methods working on different principles. They also had different assumptions. In this chapter, we provide a method to fuse the change maps obtained from these. We applied our fusion approach both in category (within a group) and inter-category (between groups) levels. We explore these methods next.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Two-Dimensional Change Detection MethodsFusion of Change Detection Methods

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Publisher
Springer London
Copyright
© Cem Ünsalan 2012
ISBN
978-1-4471-4254-6
Pages
53 –56
DOI
10.1007/978-1-4471-4255-3_6
Publisher site
See Chapter on Publisher Site

Abstract

[In previous chapters, we introduced several change detection methods working on different principles. They also had different assumptions. In this chapter, we provide a method to fuse the change maps obtained from these. We applied our fusion approach both in category (within a group) and inter-category (between groups) levels. We explore these methods next.]

Published: Jun 22, 2012

Keywords: Decision fusion; Association

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