XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/2: SAR INTERFEROMETRY]

Document type:: Multivolume work

Structure type:: Chapter

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Title:: A NEW PERSISTENT SCATTER NETWORK CONSTRUCTION ALGORITHM FOR PERSISTENT SCATTER INSAR AND ITS APPLICATION TO THE DETECTION OF URBAN SUBSIDENCE Xiaojun Luo, Dingfa Huang, Guoxiang Liu, Letao Zhou, Keren Dai

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia A NEW PERSISTENT SCATTER NETWORK CONSTRUCTION ALGORITHM FOR PERSISTENT SCATTER INSAR AND ITS APPLICATION TO THE DETECTION OF URBAN SUBSIDENCE Xiaojun Luo, Dingfa Huang, Guoxiang Liu, Letao Zhou, Keren Dai Dept. of Remote Sensing & Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, China Ixj@swjtu.cn Keywords: persistent scatters, three-dimensional persistent scatter Delaunay network, de-correlations, atmospheric delays, urban subsidence Abstract: To extremely eliminate atmospheric delays for improving the accuracy of persistent scatter INSAR, the algorithm for constructing three-dimensional Delaunay network of global positioning system (GPS) stations is introduced to construct three-dimensional persistent scatter Delaunay network. The comparison with two-dimensional persistent scatter network indicates that three-dimensional Delaunay network is stable and avoids the affect of landscape conversion from geography space to image space. The urban subsidence of Lujiazui in Shanghai during 1992-2002 was effectively detected with InSAR based on three-dimensional persistent scatter Delaunay network. The result shows that persistent scatter INSAR based on three-dimensional persistent scatter Delaunay network can be used to efficiently and accurately detect ground deformation. The comparison with Leveling and InSAR based on persistent scatter planar network indicates that the accuracy and reliability of InSAR based on three-dimensional persistent scatter Delaunay network are significantly improved. 1. INTRODUCTION Differential synthetic aperture radar interferometry (DInSAR) is a potential technique for monitoring minor ground deformation because of its pantoscopic view and high spatial resolution. However, de-correlations and atmospheric delays mitigate the accuracy of DInSAR. persistent scatter InSAR promoted by Ferretti is at present regarded as one of the most efficient approach in overcoming both de-correlations and atmospheric delays (Zebker, 1992, Ferretti et al. 2000a, 2001b). In persistent scatter InSAR, the persistent scatters are first detected from time serial SAR images. Then the network of persistent scatters is constructed (Luo et al. 2008a, Liu et al. 2008). Based on the network, the neighbourhood of persistent scatters is defined along each arc, ie., connection of the network and the increments of differential phases, called neighbouring differential phases (NDP) between two neighbouring persistent scatters are calculated. Finally, ground deformations and terrain errors are deduced from NDPs. Because of the homogeneity of atmosphere distribution in certain range, atmospheric delays are strongly correlative in small space scale such as 2km (Luo, 2007b). The NDPs accordingly eliminate most of the atmospheric delays, which is consistent with the fundament of differential GPS. Furthermore, the more closely the two persistent scatters are adjacent, the more clearly the atmospheric delays are removed from NDPs. To eliminate atmospheric effects to a maximum extent, the pair of persistent scatter decided by the network should be as far as possible to close. So it's crucial to persistent scatter InSAR to establish an appropriate persistent scatter network. The common simple persistent scatter network introduced first by Mora et al. (2003) is triangular irregular network (TIN) established with Delaunay algorithm. However, some isolated islands and singular points are easily generated while the arcs longer than lkm are cut from TIN (Ferretti et al. 2000a, Colesanti et al. 2003). The presence of isolated islands makes deformation detection difficult. To avoid the generation of isolated island in the network, an enhanced persistent scatter network called freely-connected network (FCN) was proposed by Liu et al. (2009). According to FCN algorithm, every persistent scatter is connected to all the others. Therefore more arcs than TIN are generated in FCN and the isolated islands and 57 singular points are seldom formed though the FCN is optimized by cutting the arcs longer than lkm. Furthermore, more observations are obtained from the FCN which correspondingly is useful to the network adjustment and the improvement of deformation measurement accuracy. However, FCN is constructed at the cost of computation time. Both TIN and FCN are two-dimensional networks constructed based on the image planar coordinate system. As atmospheric delays change along both horizontal and vertical direction, the NDPs derived from the planar network mainly mitigate the horizontal atmospheric delays. Most of vertical atmospheric delays still remain in the NDPs. On the other hand, because of the special image distortion such as foreshortening in SAR, the distance on the earth surface, i.e., ground distance between two neighbouring persistent scatters is usually longer than the range decided by the image resolution. Which means that the ground distance with nominal 1km (the range threshold used to select persistent scatter pairs) in image calculated by image resolution may be much longer than lkm. So the NDPs derived from planar network can not completely eliminate the atmospheric effects. In order to improve the correction of atmospheric effects in persistent scatter InSAR, the algorithm for constructing three-dimensional Delaunay network of GPS stations (Zhou et al. 2007) is introduced in this paper to establish three-dimensional persistent scatter Delaunay network (TDPDN). The validation of TDPDN is confirmed by detecting ground subsidence over Lujiazui in Shanghai during 1992-2002. 2. FOUNDMENTAL OF PERSISTENT SCATTER INSAR Given N+1 SAR images acquired at the ordered times over the same area, N interferograms will be generated if an image is specified as common master image. Suppose that M persistent scatters is identified from the N+1 time serial images, the M persistent scatters are combined to form a network with some algorithm. Then the pairs of persistent scatters are defined through the network and N time serial NDPs for any pair of adjacent persistent scatters are calculated. The NDP is function of the difference of terrain errors and the difference of linear

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