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Automatic registration of synthetic aperture radar (SAR) images

Authors: Hiêp Quang Luong; Sidharta Gautama; Wilfried Philips;

Automatic registration of synthetic aperture radar (SAR) images

Abstract

The huge amount of incoming synthetic aperture radar (SAR) data nowadays demands the need for automatic image registration. Due the presence of speckle noise and the huge size of SAR images, registering SAR images is more difficult than traditional image registration methods. In this paper we present an automatic hierarchical registration method, based on polar block matching, that can handle the registration of SAR images efficiently. Results show us that our proposed registration method outperforms the manual registration and that our method is very robust against speckle noise. An additional advantage of our registration method is that there is no need for a despeckling preprocessing step

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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