{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T16:18:55Z","timestamp":1782404335081,"version":"3.54.5"},"reference-count":34,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T00:00:00Z","timestamp":1691539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2021YFA0715404"],"award-info":[{"award-number":["2021YFA0715404"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Tomographic synthetic aperture radar (TomoSAR) obtains elevation resolution by adding multiple baselines successively in the direction perpendicular to the line of sight, thereby realizing three-dimensional (3D) reconstruction of complex scenes and significantly promoting the development of the 3D application field. However, a large data redundancy and long mapping time in traditional 3D imaging lead to a large data transmission burden, low efficiency, and high costs. To solve the above problems, this paper proposes a distributed SAR high-resolution and wide-swath (HRWS) 3D imaging technology scheme. The proposed scheme overcomes the size limitation of traditional single-satellite antennas through the multi-channel arrangement of multiple satellites in the elevation direction to achieve HRWS imaging; meanwhile, the distributed SAR system is integrated with tomographic processing technology to realize 3D imaging of difficult areas by using the elevation directional resolution of TomoSAR systems. HRWS 3D SAR increases the baseline length and channel number by transmission in turn, which leads to excessive pulse repetition frequency and causes echoes of different pulse signals to overlap in the same receiving cycle, resulting in range ambiguity and thus seriously affecting the quality of the 3D reconstruction. To solve this problem, this paper proposes a range ambiguity resolution algorithm based on multi-beam forming and verifies it on the measured data from airborne array SAR. Compared with the traditional TomoSAR, the distributed HRWS 3D SAR scheme proposed in this paper can obtain a greater mapping bandwidth with the same resolution in a single flight, thereby enhancing the time correlation, reducing data redundancy, and greatly improving mapping efficiency.<\/jats:p>","DOI":"10.3390\/rs15163938","type":"journal-article","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T10:21:50Z","timestamp":1691576510000},"page":"3938","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["High-Resolution and Wide-Swath 3D Imaging for Urban Areas Based on Distributed Spaceborne SAR"],"prefix":"10.3390","volume":"15","author":[{"given":"Yaqian","family":"Yang","sequence":"first","affiliation":[{"name":"National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fubo","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ye","family":"Tian","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Longyong","family":"Chen","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9850-7015","authenticated-orcid":false,"given":"Robert","family":"Wang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yirong","family":"Wu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Liu, S., Wei, S., Wei, J., Zeng, X., and Zhang, X. (2021, January 11\u201316). TomoSAR Sparse 3-D Imaging Via DEM-Aided Surface Projection. Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium.","DOI":"10.1109\/IGARSS47720.2021.9553566"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1857","DOI":"10.1109\/JSTARS.2021.3051081","article-title":"The Performance of Relative Height Metrics for Estimation of Forest Above-Ground Biomass Using L- and X-Bands TomoSAR Data","volume":"14","author":"Yu","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"8026","DOI":"10.1109\/TGRS.2020.2986052","article-title":"SAR Tomography at the Limit: Building Height Reconstruction Using Only 3\u20135 TanDEM-X Bistatic Interferograms","volume":"58","author":"Shi","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2461","DOI":"10.1109\/JSTARS.2020.2995503","article-title":"Building 3-D Reconstruction With a Small Data Stack Using SAR Tomography","volume":"13","author":"Lu","year":"2020","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1109\/TGRS.2015.2477429","article-title":"Automatic Detection and Reconstruction of 2-D\/3-D Building Shapes From Spaceborne TomoSAR Point Clouds","volume":"54","author":"Shahzad","year":"2015","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1049\/ip-rsn:19951791","article-title":"Radar tomography for the generation of three-dimensional images","volume":"142","author":"Knaell","year":"1995","journal-title":"IEE Proc.\u2014Radar, Sonar Navig."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1109\/36.868873","article-title":"First demonstration of airborne SAR tomography using multibaseline L-band data","volume":"38","author":"Reigber","year":"2000","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3497","DOI":"10.1109\/TGRS.2006.881748","article-title":"Imaging of Single and Double Scatterers in Urban Areas via SAR Tomography","volume":"44","author":"Fornaro","year":"2006","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3150","DOI":"10.1109\/TGRS.2011.2177843","article-title":"Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment","volume":"50","author":"Zhu","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1109\/TGRS.2011.2160183","article-title":"Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR","volume":"50","author":"Zhu","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Shahzad, M., and Zhu, X.X. (2013, January 21\u201326). Reconstruction of building fa\u00e7ades using spaceborne multiview TomoSAR point clouds. Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium\u2014IGARSS, Melbourne, VIC, Australia.","DOI":"10.1109\/JURSE.2013.6550691"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3743","DOI":"10.1109\/JSTARS.2018.2851752","article-title":"Spaceborne Staring Spotlight SAR Tomography\u2014A First Demonstration With TerraSAR-X","volume":"11","author":"Ge","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Arcioni, M., Bensi, P., Fehringer, M., Fois, F., Heliere, F., Lin, C.-C., and Scipal, K. (2014, January 13\u201318). The Biomass mission, status of the satellite system. Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC, Canada.","DOI":"10.1109\/IGARSS.2014.6946700"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Wang, M., Wei, S., Zhou, Z., Shi, J., Zhang, X., and Guo, Y. (2022). CTV-Net: Complex-Valued TV-Driven Network With Nested Topology for 3-D SAR Imaging. IEEE Trans. Neural Netw. Learn. Syst., 1\u201315.","DOI":"10.1109\/TNNLS.2022.3208252"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Smith, J.W., and Torlak, M. (2023). Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution. IEEE Trans. Aerosp. Electron. Syst., 1\u201317.","DOI":"10.1109\/TAES.2023.3270111"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1109\/TGRS.2002.1006362","article-title":"Processing of multiple-receiver spaceborne arrays for wide-area SAR","volume":"40","author":"Goodman","year":"2002","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_17","unstructured":"Das, A., and Cobb, R. (September, January 31). TechSat 21\u2013Space Missions Using Collaborating Constellations of Satellites. Proceedings of the 12th Annual AIAA\/USU Conference on Small Satellites, Logan, UT, USA."},{"key":"ref_18","unstructured":"Martin, M., Klupar, P., Kilberg, S., and Winter, J. (2001, January 13\u201316). Techsat 21 and Revolutionizing Space Missions using Microsatellites. Proceedings of the 15th American Institute of Aeronautics and Astronautics Conference on Small Satellites, Logan, UT, USA."},{"key":"ref_19","unstructured":"Cyrus, D.J. (2002). Multiobjective, Multidisciplinary Design Optimization Methodology for the Conceptual Design of Distributed Satellite Systems. [Ph.D. Thesis, Department of Aeronautics and Astronautics, Massachusettes Institute of Technology]."},{"key":"ref_20","unstructured":"Lee, P.F., and James, K. (2001, January 9\u201313). The RADARSAT-2\/3 Topographic Mission. Proceedings of the IGARSS 2001, Sydney, Australia."},{"key":"ref_21","unstructured":"Evans, N., Lee, P., and Girard, R. (2002, January 4\u20136). The RADARSAT-2&3 Topographic Mission. Proceedings of the EUSAR 2002, Cologne, Germany."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1109\/36.911109","article-title":"Capabilities and limitations of the interferometric cartwheel","volume":"39","author":"Massonnet","year":"2001","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1109\/LGRS.2010.2100364","article-title":"Postseismic Deformation Monitoring With the COSMO\/SKYMED Constellation","volume":"8","author":"Reale","year":"2011","journal-title":"IEEE Geosci. Remote. Sens. Lett."},{"key":"ref_24","unstructured":"Moreira, A., Krieger, G., Hajnsek, I., Werner, M., Hounam, D., Riegger, S., and Settelmeyer, E. (2004, January 25\u201327). Single-Pass SAR Interferometry with a TanDEM TerraSAR-X Configuration. Proceedings of the EUSAR 2004, Ulm, Germany."},{"key":"ref_25","unstructured":"Fiedler, H., and Krieger, G. (2006, January 16\u201318). The TanDEM-X Mission Design and Data Acquisition Plan. Proceedings of the EUSAR 2006, Dresden, Germany."},{"key":"ref_26","unstructured":"Suess, M., and Wiesbeck, W. (2002). Side-Looking Synthetic Aperture Radar System. (EP1241487A1), European Patent."},{"key":"ref_27","unstructured":"Suess, M., Grafmueller, B., and Zahn, R. (2001, January 9\u201313). A novel high resolution, wide swath SAR system. Proceedings of the IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), Sydney, NSW, Australia."},{"key":"ref_28","unstructured":"Varona, E.M. (2009). Adaptive Digital Beam-Forming for High-Resolution Wide-Swath Synthetic Aperture Radar, University Polit\u00e8cnica of Catalonia."},{"key":"ref_29","first-page":"438201","article-title":"Phase-history data collection for synthetic scene modeling applications","volume":"4382","author":"Wilson","year":"2001","journal-title":"Proc. SPIE"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1109\/TGRS.2003.809934","article-title":"Three-dimensional focusing with multipass SAR data","volume":"41","author":"Fornaro","year":"2003","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"ref_31","unstructured":"Kay, S.M., Luo, P., Zhang, W., and Liu, Z. (2011). Fundamentals of Statistical Signal Processing Volume I: Estimation Theory, Publishing House of Electronics Industry."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1016\/S0262-8856(03)00137-9","article-title":"Image registration methods: A survey","volume":"21","author":"Flusser","year":"2003","journal-title":"Image Vis. Comput."},{"key":"ref_33","first-page":"1035","article-title":"Approach of range ambiguity suppression for spaceborne SAR based on LCMV algorithm","volume":"32","author":"Yu","year":"2006","journal-title":"J. Beijing Univ. Aeronaut. Astronaut."},{"key":"ref_34","unstructured":"Chen, E.X. (2004). Study on Ortho-Rectification Methodology of Space-Borne Synthetic Aperture Radar Imagery, Chinese Academy of Forestry."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/16\/3938\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:28:23Z","timestamp":1760128103000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/16\/3938"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,9]]},"references-count":34,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2023,8]]}},"alternative-id":["rs15163938"],"URL":"https:\/\/doi.org\/10.3390\/rs15163938","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,9]]}}}