Ferretti, A.[Alessandro],
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Ferretti, A.[Alessandro],
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Ferretti, A.[Alessandro],
Prati, C.[Claudio],
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Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in
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Colesanti, C.,
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SAR monitoring of progressive and seasonal ground deformation using the
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GeoRS(41), No. 7, July 2003, pp. 1685-1701.
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0308
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Ferretti, A.[Alessandro],
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Higher-Order Permanent Scatterers Analysis,
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Berardino, P.,
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Leva, D.,
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Temporal analysis of a landslide by means of a ground-based SAR
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GeoRS(41), No. 4, April 2003, pp. 745-752.
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0307
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Nico, G.,
Leva, D.,
Antonello, G.,
Tarchi, D.,
Ground-Based SAR Interferometry for Terrain Mapping:
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GeoRS(42), No. 6, June 2004, pp. 1344-1350.
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0407
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Nico, G.,
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Generation of Digital Terrain Models With a Ground-Based SAR System,
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0501
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Kenyi, L.W.,
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Estimation of rock glacier surface deformation using SAR interferometry
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Mora, O.,
Mallorqui, J.J.,
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Linear and nonlinear terrain deformation maps from a reduced set of
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0310
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Strozzi, T.,
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Raucoules, D.[Daniel],
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Monitoring of slow ground deformation by ERS radar interferometry on
the Vauvert salt mine (France): Comparison with ground-based
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RSE(88), No. 4, December 2003, pp. 468-478.
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Baran, I.,
Stewart, M.P.,
Claessens, S.,
A New Functional Model for Determining Minimum and Maximum Detectable
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0501
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Le Mouélic, S.[Stéphane],
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A Least Squares Adjustment of Multi-temporal InSAR Data:
Application to the Ground Deformation of Paris,
PhEngRS(71), No. 2, February 2005, pp. 197-204.
The main ground deformations of Paris, France are revealed by a least
squares adjustment of radar interferometry data coupled with a
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WWW Version.
0509
BibRef
Baldi, P.,
Fabris, M.,
Marsella, M.,
Monticelli, R.,
Monitoring the morphological evolution of the Sciara del Fuoco during
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PandRS(59), No. 4, June 2005, pp. 199-211.
WWW Version.
0509
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Pieraccini, M.,
Noferini, L.,
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Zaltron, N.,
Integration of Radar Interferometry and Laser Scanning for Remote
Monitoring of an Urban Site Built on a Sliding Slope,
GeoRS(44), No. 9, September 2006, pp. 2335-2342.
IEEE DOI Link
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Surazakov, A.B.,
Aizen, V.B.,
Estimating Volume Change of Mountain Glaciers Using SRTM and Map-Based
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GeoRS(44), No. 10, October 2006, pp. 2991-2995.
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0609
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Preiss, M.,
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Detecting Scene Changes Using Synthetic Aperture Radar Interferometry,
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0608
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Sletten, M.A.,
An Analysis of Gradient-Induced Distortion in ATI-SAR Imagery of
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Oveisgharan, S.,
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Estimating Snow Accumulation From InSAR Correlation Observations,
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Pal, S.K.,
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ERS-2 SAR and IRS-1C LISS III data fusion: A PCA approach to improve
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PandRS(61), No. 5, January 2007, pp. 281-297.
WWW Version.
0703
ERS-2 SAR; IRS-1C LISS III; Image fusion;
Feature-oriented principal components selection;
Lithological discrimination; Change detection
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Ge, L.L.[Lin-Lin],
Chang, H.C.[Hsing-Chung],
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Mine Subsidence Monitoring Using Multi-source Satellite SAR Images,
PhEngRS(73), No. 3, March 2007, pp. 259-266.
WWW Version.
0704
ERS-1/2, JERS-1, Radarsat-1, and Envisat satellite imagery were analysed
using differential interferometric synthetic aperture radar to monitor
mine subsidence in Australia with sub-centimeter accuracy when compared
against ground survey profiles.
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Lu, Z.[Zhong],
InSAR Imaging of Volcanic Deformation over Cloud-prone Areas - Aleutian
Islands,
PhEngRS(73), No. 3, March 2007, pp. 245-158.
WWW Version.
0704
Mapping ground surface deformation of volcanoes over the Aleutian Islands
using satellite interferometric synthetic aperture radar (InSAR).
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Schumann, G.,
Hostache, R.,
Puech, C.,
Hoffmann, L.,
Matgen, P.,
Pappenberger, F.,
Pfister, L.,
High-Resolution 3-D Flood Information From Radar Imagery for Flood
Hazard Management,
GeoRS(45), No. 6, June 2007, pp. 1715-1725.
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0706
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Hong, Y.,
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Huffman, G.,
An Experimental Global Prediction System for Rainfall-Triggered
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Chaabane, F.,
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Tupin, F.,
Briole, P.,
Maitre, H.,
A Multitemporal Method for Correction of Tropospheric Effects in
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GeoRS(45), No. 6, June 2007, pp. 1605-1615.
IEEE DOI Link
0706
BibRef
Tralli, D.M.,
Blom, R.G.,
Fielding, E.J.,
Donnellan, A.,
Evans, D.L.,
Conceptual Case for Assimilating Interferometric Synthetic Aperture
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GeoRS(45), No. 6, June 2007, pp. 1595-1604.
IEEE DOI Link
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Jager, M.,
Neumann, M.,
Guillaso, S.,
Reigber, A.,
A Self-Initializing PolInSAR Classifier Using Interferometric Phase
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GeoRS(45), No. 11, November 2007, pp. 3503-3518.
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Probe transit effect in interferometry of fast moving samples,
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Guo, H.W.[Hong-Wei],
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Blind phase shift estimation in phase-shifting interferometry,
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Crosetto, M.[Michele],
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Generation of Advanced ERS and Envisat Interferometric SAR Products
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PhEngRS(74), No. 4, April 2008, pp. 443-450.
WWW Version.
0804
Land deformation monitoring using a time series of spaceborne SAR
images.
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Sandwell, D.T.,
Myer, D.,
Mellors, R.,
Shimada, M.,
Brooks, B.,
Foster, J.,
Accuracy and Resolution of ALOS Interferometry:
Vector Deformation Maps of the Father's Day Intrusion at Kilauea,
GeoRS(46), No. 11, November 2008, pp. 3524-3534.
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0812
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Liu, H.[Hongxing],
Yu, J.[Jaeyhung],
Zhao, Z.[Zhiyuan],
Jezek, K.C.[Kenneth C.],
Incorporation of Flow Stripes as Constraints for Calibrating Ice
Surface Velocity Measurements from Interferometric SAR Data,
PhEngRS(74), No. 12, December 2008, pp. 1501-1508.
WWW Version.
0804
A new technique for calibrating ice surface velocity from
interferometric SAR data with flow stripes as constraints.
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Martinez-Vazquez, A.,
Fortuny-Guasch, J.,
A GB-SAR Processor for Snow Avalanche Identification,
GeoRS(46), No. 11, November 2008, pp. 3948-3956.
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0812
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Prats, P.,
Scheiber, R.,
Reigber, A.,
Andres, C.,
Horn, R.,
Estimation of the Surface Velocity Field of the Aletsch Glacier Using
Multibaseline Airborne SAR Interferometry,
GeoRS(47), No. 2, February 2009, pp. 419-430.
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0903
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Barazzetti, L.[Luigi],
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Crack measurement: Development, testing and applications of an
automatic image-based algorithm,
PandRS(64), No. 3, May 2009, pp. 285-296.
Elsevier DOI Link
WWW Version.
0905
Metrology; Measurement; Matching; Close-range photogrammetry; Target
recognition
Extraction of cracks, measurement of crack deformations.
BibRef
Alba, M.[Mario],
Bernardini, G.[Giulia],
Giussani, A.[Alberto],
Ricci, P.P.[Pier Paolo],
Roncoroni, F.[Fabio],
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Zhang, K.[Katherine],
Measurement of Dam Deformations by Terrestrial Interferometric
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ISPRS08(B1: 133 ff).
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Alba, M.[Mario],
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Laser09(99).
0909
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Alba, M.,
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Laser05(xx-yy).
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Alba, M.,
Fregonese, L.,
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IEVM06(xx-yy).
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Alba, M.[Mario],
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Investigations about the Accuracy of Target Measurement for Deformation
Monitoring,
ISPRS08(B5: 1053 ff).
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Hirn, B.,
di Bartola, C.,
Ferrucci, F.,
Combined Use of SEVIRI and MODIS for Detecting, Measuring, and
Monitoring Active Lava Flows at Erupting Volcanoes,
GeoRS(47), No. 8, August 2009, pp. 2923-2930.
IEEE DOI Link
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Cascini, L.[Leonardo],
Fornaro, G.[Gianfranco],
Peduto, D.[Dario],
Analysis at medium scale of low-resolution DInSAR data in slow-moving
landslide-affected areas,
PandRS(64), No. 6, November 2009, pp. 598-611.
Elsevier DOI Link
WWW Version.
1001
DInSAR; Multipass DInSAR; Landslides; Visibility mapping; Natural hazards
BibRef
Wegmuller, U.,
Walter, D.,
Spreckels, V.,
Werner, C.L.,
Nonuniform Ground Motion Monitoring With TerraSAR-X Persistent
Scatterer Interferometry,
GeoRS(48), No. 2, February 2010, pp. 895-904.
IEEE DOI Link
1002
BibRef
Wang, Z.Y.[Zhi-Yong],
Zhang, J.X.[Ji-Xian],
Huang, G.M.[Guo-Man],
Zhang, Y.H.[Yong-Hong],
Monitoring Land Subsidence in Suzhou City Using D-InSAR Technique,
CISP09(1-4).
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Blesius, L.,
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The use of high-resolution satellite imagery for deriving geotechnical
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0906
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Walter, D.,
Wegmüller, U.,
Spreckels, V.,
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Interferometric monitoring of an active underground mining field with
high-resolution SAR sensors,
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PDF Version.
0906
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Fang, M.[Miao],
Yan, M.X.[Ming-Xing],
Qi, X.Y.[Xiao-Ying],
Ye, C.M.[Cheng-Ming],
Baocun, W.[Wang],
Rui, L.[Liu],
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Application of DInSAR and GIS for Underground Mine Subsidence
Monitoring,
ISPRS08(B1: 251 ff).
PDF Version.
0807
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Zhao, C.Y.[Chao-Ying],
Ding, X.L.[Xiao-Li],
Zhang, Q.[Qin],
Lu, Z.[Zhong],
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ISPRS08(B1: 147 ff).
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Huang, Q.H.[Qi-Huan],
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Sharov, A.[Aleksey],
Gutjahr, K.H.[Karl-Heinz],
Meyer, F.[Franz],
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Methodical Alternatives to the Glacier Motion Measurement from
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0305
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Microwave Sensors and Analysis .