{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:03:19Z","timestamp":1760241799673,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2018,8,20]],"date-time":"2018-08-20T00:00:00Z","timestamp":1534723200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41531068","41674009","41604012"],"award-info":[{"award-number":["41531068","41674009","41604012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004020","name":"Japan Aerospace Exploration Agency","doi-asserted-by":"publisher","award":["3098"],"award-info":[{"award-number":["3098"]}],"id":[{"id":"10.13039\/501100004020","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Atmospheric effect represents one of the major error sources for interferometric synthetic aperture radar (InSAR), particularly for the repeat-pass InSAR data. In order to further improve the practicability of InSAR technology, it is essential to study how to estimate and eliminate the undesired impact of atmospheric effects. In this paper, we propose the multi-resolution weighted correlation analysis (MRWCA) method between the dual-polarization InSAR data to estimate and correct atmospheric effects for InSAR topographic mapping. The study is based on the a priori knowledge that atmospheric effects is independent of the polarization. To find the identical atmospheric phase (ATP) signals of interferograms in different polarizations, we need to remove the other same or similar phase components. Using two different topographic data, differential interferometry was firstly performed so that the obtained differential interferograms (D-Infs) have different topographic error phases. A polynomial fitting method is then used to remove the orbit error phases. Thus, the ATP signals are the only identical components in the final obtained D-Infs. By using a forward wavelet transform, we break down the obtained D-Infs into building blocks based on their frequency properties. We then applied weighted correlation analysis to estimate the wavelet coefficients attributed to the atmospheric effects. Thus, the ATP signals can be obtained by the refined wavelet coefficients during inverse wavelet transform (IWT). Lastly, we tested the proposed method by the L-band Advanced Land Observing Satellite (ALOS)-1 PALSAR dual-polarization SAR data pairs covering the San Francisco (USA) and Moron (Mongolia) regions. By using Ice, Cloud, and land Elevation Satellite (ICESat) data as the reference data, we evaluated the vertical accuracy of the InSAR digital elevation models (DEMs) with and without atmospheric effects correction, which shows that, for the San Francisco test site, the corrected interferogram could provide a DEM with a root-mean-square error (RMSE) of 7.79 m, which is an improvement of 40.5% with respect to the DEM without atmospheric effects correction. For the Moron test site, the corrected interferogram could provide a DEM with an RMSE of 10.74 m, which is an improvement of 30.2% with respect to the DEM without atmospheric effects correction.<\/jats:p>","DOI":"10.3390\/rs10081310","type":"journal-article","created":{"date-parts":[[2018,8,20]],"date-time":"2018-08-20T11:23:06Z","timestamp":1534764186000},"page":"1310","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Using Dual-Polarization Interferograms to Correct Atmospheric Effects for InSAR Topographic Mapping"],"prefix":"10.3390","volume":"10","author":[{"given":"Zhiwei","family":"Liu","sequence":"first","affiliation":[{"name":"The School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}]},{"given":"Haiqiang","family":"Fu","sequence":"additional","affiliation":[{"name":"The School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}]},{"given":"Jianjun","family":"Zhu","sequence":"additional","affiliation":[{"name":"The School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}]},{"given":"Cui","family":"Zhou","sequence":"additional","affiliation":[{"name":"The School of Key Laboratory for Digital Dongting Lake Basin of Hunan Province &amp; College of Science, Central South University of Forestry and Technology, Changsha 410018, China"}]},{"given":"Tingying","family":"Zuo","sequence":"additional","affiliation":[{"name":"The School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,8,20]]},"reference":[{"key":"ref_1","first-page":"117","article-title":"Measuring three-dimensional surface displacements from combined InSAR and GPS data based on BFGS method","volume":"56","author":"Hu","year":"2013","journal-title":"Chin. J. Geophys."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1109\/36.298010","article-title":"Accuracy of topographic maps derived from ERS-1 interferometric radar","volume":"32","author":"Zebker","year":"1994","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1109\/36.752187","article-title":"Multibaseline InSAR DEM reconstruction: The wavelet approach","volume":"37","author":"Ferretti","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.isprsjprs.2013.03.008","article-title":"Improved topographic mapping through high-resolution SAR interferometry with atmospheric effect removal","volume":"80","author":"Liao","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1029\/2011GL049971","article-title":"Topography correlated atmospheric delay correction in radar interferometry using wavelet transforms","volume":"39","author":"Shirzaei","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"B02404","DOI":"10.1029\/2005JB003711","article-title":"Interferometric synthetic aperture radar atmospheric correction: GPS topography-dependent turbulence model","volume":"111","author":"Li","year":"2006","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_7","first-page":"B03410","article-title":"Interferometric synthetic aperture radar (InSAR) atmospheric correction: GPS, moderate resolution imaging spectroradiometer (MODIS), and InSAR integration","volume":"110","author":"Li","year":"2005","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1029\/2005GL025299","article-title":"Interferometric synthetic aperture radar atmospheric correction: Medium resolution imaging spectrometer and advanced synthetic aperture radar integration","volume":"33","author":"Li","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"23109","DOI":"10.1029\/96JE01459","article-title":"Surface deformation and coherence measurements of Kilauea Volcano, Hawaii, from SIR-C radar interferometry","volume":"101","author":"Rosen","year":"1996","journal-title":"J. Geophys. Res.: Planets"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/36.898661","article-title":"Permanent scatterers in SAR interferometry","volume":"39","author":"Ferretti","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/TGRS.2016.2589762","article-title":"Persistent Scatterer Selection Incorporating Polarimetric SAR Interferograms Based on Maximum Likelihood Theory","volume":"55","author":"Ishitsuka","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Hanssen, R.F. (2001). Radar Interferometry Data Interpretation and Error Analysis, Kluwer.","DOI":"10.1007\/0-306-47633-9"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1551","DOI":"10.1109\/36.718859","article-title":"Polarimetric SAR interferometry","volume":"36","author":"Cloude","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1029\/2007GL030806","article-title":"Persistent scatterer selection using maximum likelihood estimation","volume":"34","author":"Shanker","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1109\/LGRS.2013.2250903","article-title":"A Refined Strategy for Removing Composite Errors of SAR Interferogram","volume":"11","author":"Xu","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/34.192463","article-title":"A theory for multiresolution signal decomposition: The wavelet representation","volume":"11","author":"Mallat","year":"1989","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1517","DOI":"10.1090\/S0025-5718-98-00974-0","article-title":"The approximation power of moving least-squares","volume":"67","author":"Levin","year":"1998","journal-title":"Math. Comp."},{"key":"ref_18","unstructured":"Shim, J.S. (2009). Analysis of Total Electron Content (TEC) Variations in the Low- and Middle-Latitude Ionosphere. [Ph.D. Thesis, Utah State University]."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1080\/01431161.2014.999166","article-title":"Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat\/GLAS data","volume":"36","author":"Bonnet","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1016\/j.rse.2011.03.005","article-title":"Monitoring lake level changes on the Tibetan plateau using ICESat altimetry data (2003\u20132009)","volume":"115","author":"Zhang","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/TGRS.2006.885401","article-title":"Verification of the vertical error in C-band SRTM DEM using ICESat and Landsat-7, Otter Tail County, MN","volume":"45","author":"Bhang","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1016\/S0924-2716(02)00164-8","article-title":"Mapping from ASTER stereo image data: DEM validation and accuracy assessment","volume":"57","author":"Hirano","year":"2003","journal-title":"ISPRS J. Photogramm."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1016\/j.isprsjprs.2008.03.001","article-title":"Improved filtering parameter determination for the Goldstein radar interferogram filter","volume":"63","author":"Li","year":"2008","journal-title":"ISPRS J. Photogramm."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1364\/JOSAA.18.000338","article-title":"Two-dimensional phase unwrapping with use of statistical models for cost function in nonlinear optimization","volume":"18","author":"Chen","year":"2001","journal-title":"J. Opt. Soc. Am. A"},{"key":"ref_25","unstructured":"Costantini, M., and Rosen, P.A. (July, January 28). A generalized phase unwrapping approach for sparse data. Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Hamburg, Germany."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"478","DOI":"10.2478\/s11600-012-0061-5","article-title":"DInSAR technique for three-dimensional coastal spit simulation from radarsat-1 fine mode data","volume":"61","author":"Marghany","year":"2013","journal-title":"Acta Geophysica"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Imperatore, P., and Pepe, A. (2016). Topological characterization and advanced noise filtering techniques for phase unwrapping of interferometric data-stacks. Remote Sens. Environ.","DOI":"10.5772\/61847"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1109\/LGRS.2012.2208935","article-title":"A Wavelet-Based Multitemporal DInSAR Algorithm for Monitoring Ground Surface Motion","volume":"10","author":"Shirzaei","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Neelmeijer, J., Sch\u00f6ne, T., Dill, R., Klemann, V., and Motagh, M. (2018). Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data\u2014A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series. Remote Sens., 10.","DOI":"10.3390\/rs10030462"},{"key":"ref_30","first-page":"012067","article-title":"Application of PALSAR-2 remote sensing data for landslide hazard mapping in Kelantan river basin, Peninsular Malaysia","volume":"37","author":"Hashim","year":"2016","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/MGRS.2015.2437353","article-title":"Tandem-L: A highly innovative bistatic SAR mission for global observation of dynamic processes on the earth\u2019s surface","volume":"3","author":"Moreira","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1109\/TGRS.2004.830161","article-title":"Calibration of linearly polarized polarimetric SAR data subject to Faraday rotation","volume":"42","author":"Freeman","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"3208","DOI":"10.1109\/TGRS.2008.919143","article-title":"The Compact Polarimetry Alternative for Spaceborne SAR at Low Frequency","volume":"46","author":"Souyris","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3191","DOI":"10.1109\/TGRS.2012.2218660","article-title":"Ionospheric correction of SAR interferograms by multiple-aperture interferometry","volume":"51","author":"Jung","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Rosen, P.A., Hensley, S., and Chen, C. (2010, January 10\u201314). Measurement and mitigation of the ionosphere in L-band Interferometric SAR data. Proceedings of the IEEE Radar Conference, Washington, DC, USA.","DOI":"10.1109\/RADAR.2010.5494385"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1446","DOI":"10.1109\/TGRS.2015.2481079","article-title":"Toward Operational Compensation of Ionospheric Effects in SAR Interferograms: The Split-Spectrum Method","volume":"54","author":"Gomba","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2017.2718566","article-title":"InSAR time-series estimation of the ionospheric phase delay: An extension of the split range-spectrum technique","volume":"55","author":"Fattahi","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/8\/1310\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:19:41Z","timestamp":1760195981000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/8\/1310"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,20]]},"references-count":37,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2018,8]]}},"alternative-id":["rs10081310"],"URL":"https:\/\/doi.org\/10.3390\/rs10081310","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2018,8,20]]}}}