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Image Matching Using Generalized Hough TransformsAn image matching system specifically designed to match dissimilar images is described. A set of blobs and ribbons is first extracted from each image, and then generalized Hough transform techniques are used to match these sets and compute the transformation that best registers the image. An example of the application of the approach to one pair of remotely sensed images is presented.
Document ID
19840004501
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Davis, L. S. (Maryland Univ. College Park, MD, United States)
Hu, F. P. (Maryland Univ. College Park, MD, United States)
Hwang, V. (Maryland Univ. College Park, MD, United States)
Kitchen, L. (Maryland Univ. College Park, MD, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1983
Publication Information
Publication: Texas A and M Univ. Proc. of the NASA Symp. on Math. Pattern Recognition and Image Analysis
Subject Category
Earth Resources And Remote Sensing
Accession Number
84N12569
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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IDRelationTitle19840004489Collected WorksProceedings of the NASA Symposium on Mathematical Pattern Recognition and Image Analysis
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