Change detection on SAR images using divisive normalization-based image representation

Qian Xu, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In the context of multi-temporal synthetic aperture radar (SAR) images for earth monitoring applications, one critical issue is the detection of changes occurring after a natural or an-thropic disaster. In this paper, we propose a new similarity measure for automatic change detection based on a divisive normalization image representation. The divisive normalization transform (DNT) has been recognized as a successful methodology to model the perceptual sensitivity of biological vision and a useful image representation that significantly reduces statistical dependence of natural images. In this work, we exploit the fact that the histogram of DNT coefficients within wavelet subbands can often be well fitted with a zero-mean Gaussian density function, which is a one-parameter function that allows efficient change detection of SAR images. The proposed change detector is compared to other recent modelbased approaches. Tests on real data show that our detector outperforms previously suggested methods in terms of the rate of false alarm rate and the total error rate.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4339-4343
Number of pages5
ISBN (Print)9781479928927
DOIs
StatePublished - 2014
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: May 4 2014May 9 2014

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
CountryItaly
CityFlorence
Period5/4/145/9/14

Fingerprint

Synthetic aperture radar
Detectors
Disasters
Probability density function
Earth (planet)
Monitoring

Keywords

  • change detection
  • Divisive normalization
  • Gaussian scale mixture
  • synthetic aperture radar (SAR) images

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Xu, Q., & Karam, L. (2014). Change detection on SAR images using divisive normalization-based image representation. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 4339-4343). [6854421] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6854421

Change detection on SAR images using divisive normalization-based image representation. / Xu, Qian; Karam, Lina.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 4339-4343 6854421.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xu, Q & Karam, L 2014, Change detection on SAR images using divisive normalization-based image representation. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 6854421, Institute of Electrical and Electronics Engineers Inc., pp. 4339-4343, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, 5/4/14. https://doi.org/10.1109/ICASSP.2014.6854421
Xu Q, Karam L. Change detection on SAR images using divisive normalization-based image representation. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 4339-4343. 6854421 https://doi.org/10.1109/ICASSP.2014.6854421
Xu, Qian ; Karam, Lina. / Change detection on SAR images using divisive normalization-based image representation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 4339-4343
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