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dc.contributor.authorVenkatachalam, Vidya
Choi, Hyeokho
Baraniuk, Richard G.
dc.creatorVenkatachalam, Vidya
Choi, Hyeokho
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:36:06Z
dc.date.available 2007-10-31T00:36:06Z
dc.date.issued 2000-04-01
dc.date.submitted 2000-04-01
dc.identifier.citation V. Venkatachalam, H. Choi and R. G. Baraniuk, "Multiscale SAR Image Segmentation using Wavelet-domain Hidden Markov Tree Models," vol. 4053, 2000.
dc.identifier.urihttps://hdl.handle.net/1911/19710
dc.description Conference Paper
dc.description.abstract We study the segmentation of SAR imagery using wavelet-domain Hidden Markov Tree (HMT) models. The HMT model is a tree-structured probabilistic graph that captures the statistical properties of the wavelet transforms of images. This technique has been successfully applied to the segmentation of natural texture images, documents, etc. However, SAR image segmentation poses a difficult challenge owing to the high levels of speckle noise present at fine scales. We solve this problem using a "truncated" wavelet HMT model specially adapted to SAR images. This variation is built using only the coarse scale wavelet coefficients. When applied to SAR images, this technique provides a reliable initial segmentation. We then refine the classification using a multiscale fusion technique, which combines the classification information across scales from the initial segmentation to correct for misclassifications. We provide a fast algorithm, and demonstrate its performance on MSTAR clutter data.
dc.language.iso eng
dc.subjectsegmentation
wavelet
SAR
ATR
MSTAR
dc.subject.otherWavelet based Signal/Image Processing
dc.title Multiscale SAR Image Segmentation using Wavelet-domain Hidden Markov Tree Models
dc.type Conference paper
dc.date.note 2004-01-08
dc.citation.bibtexName inproceedings
dc.date.modified 2006-07-05
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordsegmentation
wavelet
SAR
ATR
MSTAR
dc.citation.volumeNumber 4053
dc.citation.location Orlando, FL
dc.citation.conferenceName SPIE Symp. on Aerospace/Defense Sensing, Simulation, and Controls
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1117/12.396322


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1278]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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