Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction

Charles Alban Deledalle; Loic Denis; Giampaolo Ferraioli; Florence Tupin

doi:10.1109/IGARSS.2015.7326314

Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction

Charles Alban Deledalle
, Loic Denis
, Giampaolo Ferraioli
, Florence Tupin

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

Abstract

In this paper we propose a new approach for height retrieval using multi-channel SAR interferometry. It combines patch-based estimation and total variation regularization to provide a regularized height estimate. The non-local likelihood term adaptation relies on NL-SAR method, and the global optimization is realized through graph-cut minimization. The method is evaluated both with synthetic and real experiments.

Original language	English
Title of host publication	2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2485-2488
Number of pages	4
ISBN (Electronic)	9781479979295
DOIs	https://doi.org/10.1109/IGARSS.2015.7326314
Publication status	Published - 10 Nov 2015
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2015-November

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/Territory	Italy
City	Milan
Period	26/07/15 → 31/07/15

Keywords

Non-local means
SAR interferometry
TV regularization
multi-channel In-SAR

Access to Document

10.1109/IGARSS.2015.7326314

Cite this

Deledalle, C. A., Denis, L., Ferraioli, G., & Tupin, F. (2015). Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (pp. 2485-2488). Article 7326314 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2015.7326314

Deledalle, Charles Alban ; Denis, Loic ; Ferraioli, Giampaolo et al. / Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction. 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2485-2488 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{28ffb0f55eb848fd861d118aec49b8e6,

title = "Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction",

abstract = "In this paper we propose a new approach for height retrieval using multi-channel SAR interferometry. It combines patch-based estimation and total variation regularization to provide a regularized height estimate. The non-local likelihood term adaptation relies on NL-SAR method, and the global optimization is realized through graph-cut minimization. The method is evaluated both with synthetic and real experiments.",

keywords = "Non-local means, SAR interferometry, TV regularization, multi-channel In-SAR",

author = "Deledalle, \{Charles Alban\} and Loic Denis and Giampaolo Ferraioli and Florence Tupin",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",

year = "2015",

month = nov,

day = "10",

doi = "10.1109/IGARSS.2015.7326314",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2485--2488",

booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings",

}

Deledalle, CA, Denis, L, Ferraioli, G & Tupin, F 2015, Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction. in 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings., 7326314, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 2485-2488, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, 26/07/15. https://doi.org/10.1109/IGARSS.2015.7326314

Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction. / Deledalle, Charles Alban; Denis, Loic; Ferraioli, Giampaolo et al.
2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2485-2488 7326314 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November).

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

TY - GEN

T1 - Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction

AU - Deledalle, Charles Alban

AU - Denis, Loic

AU - Ferraioli, Giampaolo

AU - Tupin, Florence

PY - 2015/11/10

Y1 - 2015/11/10

N2 - In this paper we propose a new approach for height retrieval using multi-channel SAR interferometry. It combines patch-based estimation and total variation regularization to provide a regularized height estimate. The non-local likelihood term adaptation relies on NL-SAR method, and the global optimization is realized through graph-cut minimization. The method is evaluated both with synthetic and real experiments.

AB - In this paper we propose a new approach for height retrieval using multi-channel SAR interferometry. It combines patch-based estimation and total variation regularization to provide a regularized height estimate. The non-local likelihood term adaptation relies on NL-SAR method, and the global optimization is realized through graph-cut minimization. The method is evaluated both with synthetic and real experiments.

KW - Non-local means

KW - SAR interferometry

KW - TV regularization

KW - multi-channel In-SAR

U2 - 10.1109/IGARSS.2015.7326314

DO - 10.1109/IGARSS.2015.7326314

M3 - Conference contribution

AN - SCOPUS:84962531075

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 2485

EP - 2488

BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015

Y2 - 26 July 2015 through 31 July 2015

ER -

Deledalle CA, Denis L, Ferraioli G, Tupin F. Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2485-2488. 7326314. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2015.7326314

Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction

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Keywords

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