SAR, InSAR, Surface Deformation with Persistent, Permanent Scatter

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Shape from Radar. Scatter.

Ferretti, A.[Alessandro], Prati, C.[Claudio], Rocca, F.[Fabio],
Permanent scatterers in SAR interferometry,
GeoRS(39), No. 1, January 2001, pp. 8-20.
IEEE Top Reference. 0001

Ferretti, A.[Alessandro], Prati, C.[Claudio], Rocca, F.[Fabio],
Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry,
GeoRS(38), No. 5, September 2000, pp. 2202-2212.
IEEE Top Reference. 0010

Colesanti, C., Ferretti, A.[Alessandro], Novali, F., Prati, C.[Claudio], Rocca, F.[Fabio],
SAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique,
GeoRS(41), No. 7, July 2003, pp. 1685-1701.
IEEE Abstract. 0308

Ferretti, A.[Alessandro], Bianchi, M.[Marco], Prati, C.[Claudio], Rocca, F.[Fabio],
Higher-Order Permanent Scatterers Analysis,
JASP(2005), No. 20, 2005, pp. 3231-3242.
WWW Link. 0603

Liu, G., Buckley, S.M., Ding, X., Chen, Q., Luo, X.,
Estimating Spatiotemporal Ground Deformation With Improved Permanent-Scatterer Radar Interferometry,
GeoRS(47), No. 8, August 2009, pp. 2762-2772.

Liu, G., Buckley, S.M., Ding, X., Chen, Q., Luo, X.,
Estimating Spatiotemporal Ground Deformation With Improved Persistent-Scatterer Radar Interferometry ast,
GeoRS(47), No. 9, September 2009, pp. 3209-3219.

Tofani, V.[Veronica], Raspini, F.[Federico], Catani, F.[Filippo], Casagli, N.[Nicola],
Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring,
RS(5), No. 3, March 2013, pp. 1045-1065.
DOI Link 1304
Award, Remote Sensing 10th, Rank 3. BibRef

Bianchini, S.[Silvia], Solari, L.[Lorenzo], Casagli, N.[Nicola],
A GIS-Based Procedure for Landslide Intensity Evaluation and Specific risk Analysis Supported by Persistent Scatterers Interferometry (PSI),
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712

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.

Goel, K.[Kanika], Adam, N.[Nico],
An advanced algorithm for deformation estimation in non-urban areas,
PandRS(73), No. 1, September 2012, pp. 100-110.
Elsevier DOI 1210
Adaptive spatial phase filtering; Distributed scatterer (DS); L1 norm minimization; Small Baseline Subset Algorithm (SBAS); TerraSAR-X BibRef

Hölbling, D., Füreder, P., Antolini, F., Cigna, F., Casagli, N., Lang, S.,
A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories,
RS(4), No. 5, May 2012, pp. 1310-1336.
DOI Link 1205

Bianchini, S.[Silvia], Pratesi, F.[Fabio], Nolesini, T.[Teresa], Casagli, N.[Nicola],
Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study,
RS(7), No. 4, 2015, pp. 4678-4701.
DOI Link 1505

Bianchini, S.[Silvia], Herrera, G.[Gerardo], Mateos, R.M.[Rosa Maria], Notti, D.[Davide], Garcia, I.[Inmaculada], Mora, O.[Oscar], Moretti, S.[Sandro],
Landslide Activity Maps Generation by Means of Persistent Scatterer Interferometry,
RS(5), No. 12, 2013, pp. 6198-6222.
DOI Link 1402

Dehghani, M.[Maryam], Zoej, M.J.V.[Mohammad Javad Valadan], Entezam, I.[Iman],
Neural Network Modelling of Tehran Land Subsidence Measured by Persistent Scatterer Interferometry,
PFG(2013), No. 1, 2013, pp. 5-17.
DOI Link 1303

Lu, P.[Ping], Bai, S.B.[Shi-Biao], Casagli, N.[Nicola],
Investigating Spatial Patterns of Persistent Scatterer Interferometry Point Targets and Landslide Occurrences in the Arno River Basin,
RS(6), No. 8, 2014, pp. 6817-6843.
DOI Link 1410

Devanthéry, N.[Núria], Crosetto, M.[Michele], Monserrat, O.[Oriol], Cuevas-González, M.[María], Crippa, B.[Bruno],
An Approach to Persistent Scatterer Interferometry,
RS(6), No. 7, 2014, pp. 6662-6679.
DOI Link 1408
And: A2, A1, A4, A3, A5:
Exploitation of the full potential of Persistent Scatterer Interferometry data,
DOI Link 1404
Earlier: A2, A3, A4, A1, A5:
Analysis of X-Band Very High Resolution Persistent Scatterer Interferometry Data over Urban Areas,
DOI Link 1308
measure and monitor land deformation BibRef

Budillon, A.[Alessandra], Crosetto, M.[Michele], Johnsy, A.C.[Angel Caroline], Monserrat, O.[Oriol], Krishnakumar, V.[Vrinda], Schirinzi, G.[Gilda],
Comparison of Persistent Scatterer Interferometry and SAR Tomography Using Sentinel-1 in Urban Environment,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Crosetto, M.[Michele], Monserrat, O.[Oriol], Devanthéry, N.[Núria], Cuevas-González, M.[María], Barra, A., Crippa, B.[Bruno],
Persistent Scatterer Interferometry Using Sentinel-1 Data,
ISPRS16(B7: 835-839).
DOI Link 1610

Crosetto, M.[Michele], Monserrat, O.[Oriol], Cuevas-González, M.[María], Devanthéry, N.[Núria], Crippa, B.[Bruno],
Persistent Scatterer Interferometry: A review,
PandRS(115), No. 1, 2016, pp. 78-89.
Elsevier DOI 1604
Survey, Persistent Scatterer. Remote sensing BibRef

Cigna, F.[Francesca], Lasaponara, R.[Rosa], Masini, N.[Nicola], Milillo, P.[Pietro], Tapete, D.[Deodato],
Persistent Scatterer Interferometry Processing of COSMO-SkyMed StripMap HIMAGE Time Series to Depict Deformation of the Historic Centre of Rome, Italy,
RS(6), No. 12, 2014, pp. 12593-12618.
DOI Link 1412

Rosi, A.[Ascanio], Agostini, A.[Andrea], Tofani, V.[Veronica], Casagli, N.[Nicola],
A Procedure to Map Subsidence at the Regional Scale Using the Persistent Scatterer Interferometry (PSI) Technique,
RS(6), No. 11, 2014, pp. 10510-10522.
DOI Link 1412

Zhang, R.[Rui], Liu, G.X.[Guo-Xiang], Li, Z.L.[Zhi-Lin], Zhang, G.[Guo], Lin, H.[Hui], Yu, B.[Bing], Wang, X.W.[Xiao-Wen],
A Hierarchical Approach to Persistent Scatterer Network Construction and Deformation Time Series Estimation,
RS(7), No. 1, 2014, pp. 211-228.
DOI Link 1502
persistent scatterer interferometry (PSI) for deformation analysis BibRef

North, M.[Matthew], Farewell, T.[Timothy], Hallett, S.[Stephen], Bertelle, A.[Audrey],
Monitoring the Response of Roads and Railways to Seasonal Soil Movement with Persistent Scatterers Interferometry over Six UK Sites,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711

Zhou, C.[Chaodong], Gong, H.[Huili], Zhang, Y.[Youquan], Warner, T.A.[Timothy A.], Wang, C.[Cong],
Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003-2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805

Zhao, F.[Feng], Mallorqui, J.J.[Jordi J.], Iglesias, R.[Rubén], Gili, J.A.[Josep A.], Corominas, J.[Jordi],
Landslide Monitoring Using Multi-Temporal SAR Interferometry with Advanced Persistent Scatterers Identification Methods and Super High-Spatial Resolution TerraSAR-X Images,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806

Even, M.[Markus], Schulz, K.[Karsten],
InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by New Advances,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806

Shamshiri, R.[Roghayeh], Nahavandchi, H.[Hossein], Motagh, M.[Mahdi], Hooper, A.[Andy],
Efficient Ground Surface Displacement Monitoring Using Sentinel-1 Data: Integrating Distributed Scatterers (DS) Identified Using Two-Sample t-Test with Persistent Scatterers (PS),
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806

Zhang, B.[Bowen], Wang, R.[Robert], Deng, Y.[Yunkai], Ma, P.F.[Pei-Feng], Lin, H.[Hui], Wang, J.[Jili],
Mapping the Yellow River Delta land subsidence with multitemporal SAR interferometry by exploiting both persistent and distributed scatterers,
PandRS(148), 2019, pp. 157-173.
Elsevier DOI 1901
Persistent scatterers, Distributed scatterers, Yellow River Delta, Sentinel-1, ENVISAT ASAR BibRef

Delgado Blasco, J.M.[José Manuel], Foumelis, M.[Michael], Stewart, C.[Chris], Hooper, A.[Andrew],
Measuring Urban Subsidence in the Rome Metropolitan Area (Italy) with Sentinel-1 SNAP-StaMPS Persistent Scatterer Interferometry,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902

Liu, Y.Z.[Yu-Zhou], Ma, P.[Peifeng], Lin, H.[Hui], Wang, W.[Weixi], Shi, G.[Guoqiang],
Distributed Scatterer InSAR Reveals Surface Motion of the Ancient Chaoshan Residence Cluster in the Lianjiang Plain, China,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902

Tomás, R.[Roberto], Pagán, J.I.[José Ignacio], Navarro, J.A.[José A.], Cano, M.[Miguel], Pastor, J.L.[José Luis], Riquelme, A.[Adrián], Cuevas-González, M.[María], Crosetto, M.[Michele], Barra, A.[Anna], Monserrat, O.[Oriol], Lopez-Sanchez, J.M.[Juan M.], Ramón, A.[Alfredo], Ivorra, S.[Salvador], del Soldato, M.[Matteo], Solari, L.[Lorenzo], Bianchini, S.[Silvia], Raspini, F.[Federico], Novali, F.[Fabrizio], Ferretti, A.[Alessandro], Costantini, M.[Mario], Trillo, F.[Francesco], Herrera, G.[Gerardo], Casagli, N.[Nicola],
Semi-Automatic Identification and Pre-Screening of Geological-Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908

Ogushi, F.[Fumitaka], Matsuoka, M.[Masashi], Defilippi, M.[Marco], Pasquali, P.[Paolo],
Improvement of Persistent Scatterer Interferometry to Detect Large Non-Linear Displacements with the 2p Ambiguity by a Non-Parametric Approach,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911

Lu, P.[Ping], Bai, S.[Shibiao], Tofani, V.[Veronica], Casagli, N.[Nicola],
Landslides detection through optimized hot spot analysis on persistent scatterers and distributed scatterers,
PandRS(156), 2019, pp. 147-159.
Elsevier DOI 1909
Persistent scatterers, Distributed scatterers, Landslides, Optimized hot spot analysis BibRef

Liang, H.Y.[Hong-Yu], Li, X.[Xin], Zhang, L.[Lei], Chen, R.F.[Rou-Fei], Ding, X.L.[Xiao-Li], Chen, K.L.[Kuo-Long], Wang, C.S.[Chi-Shan], Chang, C.S.[Chia-Shin], Chi, C.Y.[Chien-Yu],
Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008

Zhou, D.[Di], Simic-Milas, A.[Anita], Yu, J.[Jie], Zhu, L.[Lin], Chen, B.B.[Bei-Bei], Muhetaer, N.[Nijiati],
Integrating RELAX with PS-InSAR Technique to Improve Identification of Persistent Scatterers for Land Subsidence Monitoring,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009

Papoutsis, I.[Ioannis], Kontoes, C.[Charalampos], Alatza, S.[Stavroula], Apostolakis, A.[Alexis], Loupasakis, C.[Constantinos],
InSAR Greece with Parallelized Persistent Scatterer Interferometry: A National Ground Motion Service for Big Copernicus Sentinel-1 Data,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010

Aslan, G.[Gokhan], Foumelis, M.[Michael], Raucoules, D.[Daniel], de Michele, M.[Marcello], Bernardie, S.[Severine], Cakir, Z.[Ziyadin],
Landslide Mapping and Monitoring Using Persistent Scatterer Interferometry (PSI) Technique in the French Alps,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004

Ranjgar, B.[Babak], Razavi-Termeh, S.V.[Seyed Vahid], Foroughnia, F.[Fatemeh], Sadeghi-Niaraki, A.[Abolghasem], Perissin, D.[Daniele],
Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Jänichen, J., Dubois, C., Wolsza, M., Salepci, N., Schmullius, C.,
Investigation of the Ground Motion Near the Leaning Tower of Bad Frankenhausen Using Sentinel-1 Persistent Scatterer Interferometry,
DOI Link 2012

Crosetto, M.[Michele], Monserrat, O., Barra, A., Cuevas-González, M., Krishnakumar, V., Mróz, M., Crippa, B.,
A Persistent Scatterer Interferometry Procedure to Monitor Urban Subsidence,
DOI Link 1912

Yang, C.H., Kenduiywo, B.K., Soergel, U.,
4D change detection based on persistent scatterer interferometry,
geophysical image processing BibRef

Seidel, M., Marzahn, P., Ludwig, R.,
Dyke Monitoring By The Means Of Persistent Scattering Interferometry At The Coast Of Northern Germany,
ISPRS16(B8: 169-173).
DOI Link 1610

Luo, X., Huang, D., Liu, G., Zhou, L., Dai, K.,
A New Persistent Scatter Network Construction Algorithm For Persistent Scatter Insar And Its Application To The Detection of Urban Subsidence,
DOI Link 1209

Liu, G., Jia, H., Zhang, R., Li, Z., Chen, Q., Luo, X., Cai, G.,
Ultrashort-baseline Persistent Scatterer Radar Interferometry For Subsidence Detection,
AnnalsPRS(I-7), No. 2012, pp. 41-48.
HTML Version. 1209

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Surface Deformation From SAR Applied to Mine Subsidence .

Last update:Jul 11, 2021 at 20:18:24