Multi-temporal InSAR data fusion for investigating mining subsidence

Q. Sun; Z. W. Li; Xiaoli Ding; J. J. Zhu; J. Hu

doi:10.1109/ISIDF.2011.6024224

Multi-temporal InSAR data fusion for investigating mining subsidence

Q. Sun, Z. W. Li, Xiaoli Ding, J. J. Zhu, J. Hu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

Differental Interferometric synthetic aperture radar (DInSAR) has been proved an important technique for monitoring mining subsidence. However, it is difficult to obtain the robust deformation results by exploiting a single interferogram due to spatial-temporal decorrelation and atmospheric artifacts. In this paper, a multi-temporal InSAR technique is described and applied to derive the time series surface displacements of the mining area in Henan, China. The retrieved ground deformation sequences agree well with the development of the coal mining. The results demonstrate that multi-temporal InSAR data fusion approach is more suitable to investigate mining subsidence than conventional DInSAR technology.

Original language	English
Title of host publication	2011 International Symposium on Image and Data Fusion, ISIDF 2011
DOIs	https://doi.org/10.1109/ISIDF.2011.6024224
Publication status	Published - 17 Oct 2011
Event	2011 International Symposium on Image and Data Fusion, ISIDF 2011 - Tengchong, Yunnan, China Duration: 9 Aug 2011 → 11 Aug 2011

Conference

Conference	2011 International Symposium on Image and Data Fusion, ISIDF 2011
Country/Territory	China
City	Tengchong, Yunnan
Period	9/08/11 → 11/08/11

Keywords

InSAR
mining subsidence
multi-temporal
PALSAR
small baseline

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

More information

10.1109/ISIDF.2011.6024224

Cite this

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title = "Multi-temporal InSAR data fusion for investigating mining subsidence",

abstract = "Differental Interferometric synthetic aperture radar (DInSAR) has been proved an important technique for monitoring mining subsidence. However, it is difficult to obtain the robust deformation results by exploiting a single interferogram due to spatial-temporal decorrelation and atmospheric artifacts. In this paper, a multi-temporal InSAR technique is described and applied to derive the time series surface displacements of the mining area in Henan, China. The retrieved ground deformation sequences agree well with the development of the coal mining. The results demonstrate that multi-temporal InSAR data fusion approach is more suitable to investigate mining subsidence than conventional DInSAR technology.",

keywords = "InSAR, mining subsidence, multi-temporal, PALSAR, small baseline",

author = "Q. Sun and Li, {Z. W.} and Xiaoli Ding and Zhu, {J. J.} and J. Hu",

year = "2011",

month = oct,

day = "17",

doi = "10.1109/ISIDF.2011.6024224",

language = "English",

isbn = "9781457709692",

booktitle = "2011 International Symposium on Image and Data Fusion, ISIDF 2011",

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TY - GEN

T1 - Multi-temporal InSAR data fusion for investigating mining subsidence

AU - Sun, Q.

AU - Li, Z. W.

AU - Ding, Xiaoli

AU - Zhu, J. J.

AU - Hu, J.

PY - 2011/10/17

Y1 - 2011/10/17

N2 - Differental Interferometric synthetic aperture radar (DInSAR) has been proved an important technique for monitoring mining subsidence. However, it is difficult to obtain the robust deformation results by exploiting a single interferogram due to spatial-temporal decorrelation and atmospheric artifacts. In this paper, a multi-temporal InSAR technique is described and applied to derive the time series surface displacements of the mining area in Henan, China. The retrieved ground deformation sequences agree well with the development of the coal mining. The results demonstrate that multi-temporal InSAR data fusion approach is more suitable to investigate mining subsidence than conventional DInSAR technology.

AB - Differental Interferometric synthetic aperture radar (DInSAR) has been proved an important technique for monitoring mining subsidence. However, it is difficult to obtain the robust deformation results by exploiting a single interferogram due to spatial-temporal decorrelation and atmospheric artifacts. In this paper, a multi-temporal InSAR technique is described and applied to derive the time series surface displacements of the mining area in Henan, China. The retrieved ground deformation sequences agree well with the development of the coal mining. The results demonstrate that multi-temporal InSAR data fusion approach is more suitable to investigate mining subsidence than conventional DInSAR technology.

KW - InSAR

KW - mining subsidence

KW - multi-temporal

KW - PALSAR

KW - small baseline

UR - http://www.scopus.com/inward/record.url?scp=80053960743&partnerID=8YFLogxK

U2 - 10.1109/ISIDF.2011.6024224

DO - 10.1109/ISIDF.2011.6024224

M3 - Conference article published in proceeding or book

SN - 9781457709692

BT - 2011 International Symposium on Image and Data Fusion, ISIDF 2011

T2 - 2011 International Symposium on Image and Data Fusion, ISIDF 2011

Y2 - 9 August 2011 through 11 August 2011

ER -

Multi-temporal InSAR data fusion for investigating mining subsidence

Abstract

Conference

Keywords

ASJC Scopus subject areas

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