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Detection and estimation of abrupt changes contaminated by multiplicative Gaussian noise (1998)

by J Y Tourneret
Venue:EURASIP Signal Process
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Open Archive TOULOUSE Archive Ouverte (OATAO)

by A. Ferrari A, J. Y. Tourneret B, G. Alengrin A
"... OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author's version published in: ..."
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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author's version published in:
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...ion scheme in the particular case where the jumps occurs on the mean and variance of a CGARP. The study is restricted to o -line change point detection algorithm [3]. A similar problem was studied in =-=[21]-=-, for nonzero mean AR processes multiplied by a sigmoidal function modeling a jump. However, even if this model represents a jump in the mean and the power of an AR process, it can be easily checked t...

IMPROVED MULTIEDGE DETECTION AND REFLECTIVITY ESTIMATION FOR SAR IMAGES

by Marie Chabert A, Franz Hlawatsch B, Jean-yves Tourneret A , 2002
"... We propose sliding-window multiedge detectors and reflectivity estimators for complex SAR images. The novel detectors and estimators allow to take into account additive observation noise and colored signal (speckle) and noise processes; furthermore, they employ an exponential data weighting to impro ..."
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We propose sliding-window multiedge detectors and reflectivity estimators for complex SAR images. The novel detectors and estimators allow to take into account additive observation noise and colored signal (speckle) and noise processes; furthermore, they employ an exponential data weighting to improve spatial resolution. In the multiedge case, simulation results demonstrate a substantial performance improvement over existing methods when the speckle is colored and additive noise is present. 1.
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..., 5]. Estimators. We first compare the proposed estimators ML� ˆR zw� and ˆR � sim zw to the reference estimators ˆR ref-1� z� and ˆR ref-2� z � w . � The signal (speckle) is a Gaussian AR(2) process =-=[10, 11]-=- with AR parameter vectors0� 2¨ 0� 7¡ ; the additive noise is white Gaussian. 1¨ The reflectivity is ¢ R 10 on the left side and up to the center of the right side where it changes R� ¢ to 20 (this co...

Improved Multiedge Detection and Reflectivity Estimation for SAR Images

by Marie Chabert, Franz Hlawatsch, Jean-Yves Tourneret
"... We propose sliding-window multiedge detectors and reflectivity estimators for complex SAR images. The novel detectors and estimators allow to take into account additive observation noise and colored signal (speckle) and noise processes; furthermore, they employ an exponential data weighting to impro ..."
Abstract - Add to MetaCart
We propose sliding-window multiedge detectors and reflectivity estimators for complex SAR images. The novel detectors and estimators allow to take into account additive observation noise and colored signal (speckle) and noise processes; furthermore, they employ an exponential data weighting to improve spatial resolution. In the multiedge case, simulation results demonstrate a substantial performance improvement over existing methods when the speckle is colored and additive noise is present.
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