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Iterative edge- and wavelet-based image registration of AVHRR and GOES satellite imageryMost automatic registration methods are either correlation-based, feature-based, or a combination of both. Examples of features which can be utilized for automatic image registration are edges, regions, corners, or wavelet-extracted features. In this paper, we describe two proposed approaches, based on edge or edge-like features, which are very appropriate to highlight regions of interest such as coastlines. The two iterative methods utilize the Normalized Cross-Correlation of edge and wavelet features and are applied to such problems as image-to-map registration, landmarking, and channel-to-channel co-registration, utilizing test data, AVHRR data, as well as GOES image data.
Document ID
19980236584
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
LeMoigne, Jacqueline
(NASA Goddard Space Flight Center Greenbelt, MD United States)
El-Saleous, Nazmi
(Maryland Univ. College Park, MD United States)
Vermote, Eric
(Maryland Univ. College Park, MD United States)
Date Acquired
August 18, 2013
Publication Date
November 1, 1997
Publication Information
Publication: Image Registration Workshop Proceedings
Subject Category
Computer Programming And Software
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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