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

Chapter

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

2012 equation, tter InSAR. | persistent CATTER ork 1al network structure of jection and solution of ution. That ed in radar ndscape is elationship ace will be se the sites conversion dicates the e to image ' persistent shows the atter B and t the link is AR image radar slant lection of es, because D between puted with ) increases | the local ts extreme, shortening ighbouring | is usually pairs with persistent ' network > NDPs of sidues that tent scatter V 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 3.2 Construction of three-dimensional persistent scatter Delaunay network To make the relationship of persistent scatter pairs consistent with geography space, the three-dimensional Delaunay network algorithm (Zhou et al. 2007) is introduced to construct persistent scatter network. After persistent scatters are identified from time serial radar images, the geodetic coordinates of persistent scatters are derived from the DEM interferometry with two tandem images and the geodetic height H is interpolated from external DEM such as SRTM DEM. Then the geodetic coordinates (LBH) are transformed to Cartesian coordinates (XYZ). Finally, the three-dimensional persistent scatter Delaunay network based on Cartesian coordinate system is constructed with three-dimensional Delaunay network algorithm. This network is further reformed by cutting the arc longer than 1km. The optimised network is then used to establish persistent scatter pairs. To show the difference between three-dimensional Delaunay network and two-dimensional network, the comparison of the two kinds of network is conducted by simulating in Matlab. The simulated images are demonstrated in figure 3. Geographic wol uu e ^i uid 19 80^ Y (a) The surface generated (b) Planar Delaunay network by Peaks function in Matlab terrain is firstly simulated with Matlab peaks function. The simulated geographic terrain is showed as surface image in figure (a). Then 51 points are randomly selected as persistent scatters. The two-dimensional network (figure (b)) and three-dimensional network (figure (c)) of 51 persistent scatters are constructed respectively according to planar coordinates (XY) and Space rectangular coordinates (XYZ). From the view of shape and structure, two-dimensional network are significantly different from three-dimensional network. The number of triangles is 89 in two-dimensional network but it's 9] in three-dimensional network. That means persistent scatter pairs formed by two-dimensional network are less than that formed by three-dimensional network. Furthermore, the three-dimensional network established with persistent scatter geographic coordinates is fixed as long as the geographic coordinates of persistent scatters are determined. Correspondingly, the persistent scatter neighbourhood derived from the three-dimensional network are definite. On the contrary, the neighbourhood in two-dimensional network established in image coordinate system are varied with the image resolution and projection while the geographic scene is converted to image. 63782. N 6.3782 6.3782. =< 2 Lem 6.3782 xc 6.3782 — 6.3782 S 6.3782 (c) Three-dimensional Delaunay network with three-dimensional coordinates Figure 3. The Delaunay networks generated respectively by planet coordinates and three-dimensional coordinates 4. EXPERIMENTAL DATASET AND RESULTS 4.1 Experimental dataest In the last century, the urban area of Shanghai was found beginning to subside because of the excessive exploitation of underground water (Zhang, 2002, Zhang, 2005, Ye et al. 2005). InSAR based on three-dimensional persistent scatter network and two-dimensional network respectively is used to detect the ground subsidence of Lujiazui in Shanghai. Figure 4 displays the experimental area of interest (AOI) marked by a box onto the master amplitude image, where the inset shows the enlarged multi-image reflectivity map derived by averaging all the image patches of the AOI. The AOI covers the rectangle geographic scope ranging from 121.44584°E to 121.58915°E and 31.20618°N to 31.288°N. The total area is about 33km? 26 single look complex (SLC) SAR images taken by ERS-1/2 during 1992 through 2002 are utilized. The SAR image taken by ERS-2 on Jun 4, 1996 was chosen as the common master image and the remaining 25 images were used as the slave images. Thus 59 Fig. 4. The experiment area marked by a box onto the master amplitude image 25 differential interferograms were generated by the “two-pass” method (Gabriel et al. 1989, Massonnet et al. 1993, Zebker et al. 1994b). Table 1 lists the parameters of all the images, including spatial and temporal baseline with respect to the master image.

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