A Non-Stationary Periodic Temporal Decorrelation Model for Insar Stacks Over Pasture Areas

Sami Samiei Esfahany; Ramon Hanssen

doi:10.1109/IGARSS.2018.8519027

A Non-Stationary Periodic Temporal Decorrelation Model for Insar Stacks Over Pasture Areas

Sami Samiei Esfahany, Ramon Hanssen

Mathematical Geodesy and Positioning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Temporal decorrelation is one of the main error sources in satellite radar interferometry. As the range of physical mechanisms causing temporal decorrelation is wide, there is no single analytical method to model this effect. Recent studies report seasonally varying coherence behavior over pasture areas, which cannot be described by the current analytical models of temporal decorrelation. To acknowledge this periodicity, we introduce a new analytical model. Here, the hypothetical movements of elementary scatterers within resolution cells are modeled as a periodic stochastic process with non-stationary increments. The proposed model is a function of the temporal baseline and the date of the master image of each interferogram. The parameters of the proposed decorrelation model have been estimated and validated for a case study in the Netherlands

Original language	English
Title of host publication	IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Editors	Jose Moreno
Publisher	IEEE
Pages	1360-1363
Volume	2018
ISBN (Electronic)	978-1-5386-7150-4
ISBN (Print)	978-1-5386-7151-1
DOIs	https://doi.org/10.1109/IGARSS.2018.8519027
Publication status	Published - 2018
Event	IGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium: Observing, Understanding And Forecasting The Dynamics Of Our Planet - Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018 Conference number: 38 https://www.igarss2018.org/

Conference

Conference	IGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS 2018
Country/Territory	Spain
City	Valencia
Period	22/07/18 → 27/07/18
Internet address	https://www.igarss2018.org/

Keywords

SAR
InSAR
radar interferometry
Coherence
temporal decorrelation

Access to Document

10.1109/IGARSS.2018.8519027

Cite this

@inproceedings{5005d1e514654c37b38961c777359c5f,

title = "A Non-Stationary Periodic Temporal Decorrelation Model for Insar Stacks Over Pasture Areas",

abstract = "Temporal decorrelation is one of the main error sources in satellite radar interferometry. As the range of physical mechanisms causing temporal decorrelation is wide, there is no single analytical method to model this effect. Recent studies report seasonally varying coherence behavior over pasture areas, which cannot be described by the current analytical models of temporal decorrelation. To acknowledge this periodicity, we introduce a new analytical model. Here, the hypothetical movements of elementary scatterers within resolution cells are modeled as a periodic stochastic process with non-stationary increments. The proposed model is a function of the temporal baseline and the date of the master image of each interferogram. The parameters of the proposed decorrelation model have been estimated and validated for a case study in the Netherlands",

keywords = "SAR, InSAR, radar interferometry, Coherence, temporal decorrelation",

author = "{Samiei Esfahany}, Sami and Ramon Hanssen",

year = "2018",

doi = "10.1109/IGARSS.2018.8519027",

language = "English",

isbn = "978-1-5386-7151-1 ",

volume = "2018",

pages = "1360--1363",

editor = "Jose Moreno",

booktitle = "IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium",

publisher = "IEEE",

address = "United States",

note = "IGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding And Forecasting The Dynamics Of Our Planet, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

url = "https://www.igarss2018.org/",

}

Samiei Esfahany, S & Hanssen, R 2018, A Non-Stationary Periodic Temporal Decorrelation Model for Insar Stacks Over Pasture Areas. in J Moreno (ed.), IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium . vol. 2018, IEEE, pp. 1360-1363, IGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8519027

A Non-Stationary Periodic Temporal Decorrelation Model for Insar Stacks Over Pasture Areas. / Samiei Esfahany, Sami; Hanssen, Ramon.
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium . ed. / Jose Moreno. Vol. 2018 IEEE, 2018. p. 1360-1363.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A Non-Stationary Periodic Temporal Decorrelation Model for Insar Stacks Over Pasture Areas

AU - Samiei Esfahany, Sami

AU - Hanssen, Ramon

N1 - Conference code: 38

PY - 2018

Y1 - 2018

N2 - Temporal decorrelation is one of the main error sources in satellite radar interferometry. As the range of physical mechanisms causing temporal decorrelation is wide, there is no single analytical method to model this effect. Recent studies report seasonally varying coherence behavior over pasture areas, which cannot be described by the current analytical models of temporal decorrelation. To acknowledge this periodicity, we introduce a new analytical model. Here, the hypothetical movements of elementary scatterers within resolution cells are modeled as a periodic stochastic process with non-stationary increments. The proposed model is a function of the temporal baseline and the date of the master image of each interferogram. The parameters of the proposed decorrelation model have been estimated and validated for a case study in the Netherlands

AB - Temporal decorrelation is one of the main error sources in satellite radar interferometry. As the range of physical mechanisms causing temporal decorrelation is wide, there is no single analytical method to model this effect. Recent studies report seasonally varying coherence behavior over pasture areas, which cannot be described by the current analytical models of temporal decorrelation. To acknowledge this periodicity, we introduce a new analytical model. Here, the hypothetical movements of elementary scatterers within resolution cells are modeled as a periodic stochastic process with non-stationary increments. The proposed model is a function of the temporal baseline and the date of the master image of each interferogram. The parameters of the proposed decorrelation model have been estimated and validated for a case study in the Netherlands

KW - SAR

KW - InSAR

KW - radar interferometry

KW - Coherence

KW - temporal decorrelation

U2 - 10.1109/IGARSS.2018.8519027

DO - 10.1109/IGARSS.2018.8519027

M3 - Conference contribution

SN - 978-1-5386-7151-1

VL - 2018

SP - 1360

EP - 1363

BT - IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

A2 - Moreno, Jose

PB - IEEE

T2 - IGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 22 July 2018 through 27 July 2018

ER -

A Non-Stationary Periodic Temporal Decorrelation Model for Insar Stacks Over Pasture Areas

Abstract

Conference

Keywords

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Cite this