SAR image change detection by likelihood ratio test in multi-temporal time series

Xin Su; Charles Alban Deledalle; Florence Tupin; Hong Sun

doi:10.1109/IGARSS.2013.6723568

SAR image change detection by likelihood ratio test in multi-temporal time series

Xin Su
, Charles Alban Deledalle
, Florence Tupin
, Hong Sun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a change detection method between two Synthetic Aperture Radar (SAR) images with similar incidence angles and using a likelihood ratio test (LRT). To address the composite hypothesis problem of the LRT, we propose to replace the noise-free values by their estimated results. Thus, a multi-temporal non local means denoising method proposed in [1] is used in this paper to estimate the noise-free values using both spatial and temporal information. The change detection results show the effective performance of the proposed method compared with the state of the art ones, such as log-ratio operator and generalized likelihood ratio test.

Original language	English
Title of host publication	2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages	3439-3442
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2013.6723568
Publication status	Published - 1 Dec 2013
Externally published	Yes
Event	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: 21 Jul 2013 → 26 Jul 2013

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	21/07/13 → 26/07/13

Keywords

Likelihood Ratio Test (LRT)
Multi-Temporal Denoising
Multi-Temporal Synthetic Aperture Radar (SAR)
Non LocalMeans (NLM)

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10.1109/IGARSS.2013.6723568

Cite this

Su, X., Deledalle, C. A., Tupin, F., & Sun, H. (2013). SAR image change detection by likelihood ratio test in multi-temporal time series. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings (pp. 3439-3442). Article 6723568 (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2013.6723568

@inproceedings{56153e1229f04a649bf894fc519620fb,

title = "SAR image change detection by likelihood ratio test in multi-temporal time series",

abstract = "This paper presents a change detection method between two Synthetic Aperture Radar (SAR) images with similar incidence angles and using a likelihood ratio test (LRT). To address the composite hypothesis problem of the LRT, we propose to replace the noise-free values by their estimated results. Thus, a multi-temporal non local means denoising method proposed in [1] is used in this paper to estimate the noise-free values using both spatial and temporal information. The change detection results show the effective performance of the proposed method compared with the state of the art ones, such as log-ratio operator and generalized likelihood ratio test.",

keywords = "Likelihood Ratio Test (LRT), Multi-Temporal Denoising, Multi-Temporal Synthetic Aperture Radar (SAR), Non LocalMeans (NLM)",

author = "Xin Su and Deledalle, \{Charles Alban\} and Florence Tupin and Hong Sun",

year = "2013",

month = dec,

day = "1",

doi = "10.1109/IGARSS.2013.6723568",

language = "English",

isbn = "9781479911141",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "3439--3442",

booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings",

note = "2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",

}

Su, X, Deledalle, CA, Tupin, F & Sun, H 2013, SAR image change detection by likelihood ratio test in multi-temporal time series. in 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings., 6723568, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3439-3442, 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, Australia, 21/07/13. https://doi.org/10.1109/IGARSS.2013.6723568

SAR image change detection by likelihood ratio test in multi-temporal time series. / Su, Xin; Deledalle, Charles Alban; Tupin, Florence et al.
2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. 2013. p. 3439-3442 6723568 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - SAR image change detection by likelihood ratio test in multi-temporal time series

AU - Su, Xin

AU - Deledalle, Charles Alban

AU - Tupin, Florence

AU - Sun, Hong

PY - 2013/12/1

Y1 - 2013/12/1

N2 - This paper presents a change detection method between two Synthetic Aperture Radar (SAR) images with similar incidence angles and using a likelihood ratio test (LRT). To address the composite hypothesis problem of the LRT, we propose to replace the noise-free values by their estimated results. Thus, a multi-temporal non local means denoising method proposed in [1] is used in this paper to estimate the noise-free values using both spatial and temporal information. The change detection results show the effective performance of the proposed method compared with the state of the art ones, such as log-ratio operator and generalized likelihood ratio test.

AB - This paper presents a change detection method between two Synthetic Aperture Radar (SAR) images with similar incidence angles and using a likelihood ratio test (LRT). To address the composite hypothesis problem of the LRT, we propose to replace the noise-free values by their estimated results. Thus, a multi-temporal non local means denoising method proposed in [1] is used in this paper to estimate the noise-free values using both spatial and temporal information. The change detection results show the effective performance of the proposed method compared with the state of the art ones, such as log-ratio operator and generalized likelihood ratio test.

KW - Likelihood Ratio Test (LRT)

KW - Multi-Temporal Denoising

KW - Multi-Temporal Synthetic Aperture Radar (SAR)

KW - Non LocalMeans (NLM)

UR - https://www.scopus.com/pages/publications/84894282618

U2 - 10.1109/IGARSS.2013.6723568

DO - 10.1109/IGARSS.2013.6723568

M3 - Conference contribution

AN - SCOPUS:84894282618

SN - 9781479911141

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 3439

EP - 3442

BT - 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings

T2 - 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013

Y2 - 21 July 2013 through 26 July 2013

ER -

SAR image change detection by likelihood ratio test in multi-temporal time series

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Keywords

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