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Laboratory","award":["cstc2021jcyj-bshX0085"],"award-info":[{"award-number":["cstc2021jcyj-bshX0085"]}]},{"name":"Opening Project of Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory","award":["GXKL06200214"],"award-info":[{"award-number":["GXKL06200214"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>When synthetic aperture radar (SAR) is conducting remote sensing or terrain mapping, its radar beam is inevitably occluded by the variations in the under-test topography. Although back-projection algorithm (BPA) can theoretically directly solve the imaging problems of topography variations that most current SAR imaging algorithms cannot handle, these BPAs only solve the phase focusing of SAR echo signal, and do not consider the mismatch of SAR imaging results caused by topography occlusion. To solve the mis-imaging issue of the occluded area generated by BPA under the case of topography variation, a topography-based BPA (Topo-BPA) is proposed in this paper. Firstly, a new beam occlusion judgment algorithm based on spherical wave assumption is proposed, and its core is depression angle interpolation and depression angle updating. Then, the proposed Topo-BPA embeds the proposed beam occlusion judgment algorithm before the classical BPA, which not only did not reduce the focus depth of BPA, but improved the imaging accuracy of classical BPA. Finally, numerical experiments have demonstrated the superiority of the Topo-BPA\u2019s performance in comparison with classical BPA.<\/jats:p>","DOI":"10.3390\/rs15030726","type":"journal-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T02:30:38Z","timestamp":1674786638000},"page":"726","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Back-Projection Imaging for Synthetic Aperture Radar with Topography Occlusion"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2590-7704","authenticated-orcid":false,"given":"Zhanye","family":"Chen","sequence":"first","affiliation":[{"name":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China"},{"name":"Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion, Chongqing University, Chongqing 400044, China"}]},{"given":"Zhiqiang","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China"},{"name":"Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion, Chongqing University, Chongqing 400044, China"}]},{"given":"Dongning","family":"Fu","sequence":"additional","affiliation":[{"name":"Hwa Create Technology Cop., Ltd., Beijing 100193, China"},{"name":"HWA-NCUT Radar RF Simulation Laboratory, Beijing 100114, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3691-6470","authenticated-orcid":false,"given":"Yan","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Lab of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing 210096, China"}]},{"given":"Qiang","family":"Li","sequence":"additional","affiliation":[{"name":"Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China"},{"name":"Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion, Chongqing University, Chongqing 400044, China"}]},{"given":"Jun","family":"Wan","sequence":"additional","affiliation":[{"name":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China"},{"name":"Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion, Chongqing University, Chongqing 400044, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.1109\/LGRS.2017.2747602","article-title":"Recent advances in synthetic aperture radar remote sensing\u2014Systems, data processing, and applications","volume":"14","author":"Sun","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1109\/JPROC.2012.2220511","article-title":"Very-high-resolution airborne synthetic aperture radar imaging: Signal processing and applications","volume":"101","author":"Reigber","year":"2013","journal-title":"Proc. IEEE"},{"key":"ref_3","unstructured":"Cumming, I.G., and Wong, F.H. (2005). Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation, Artech House."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Savelonas, M.A., Veinidis, C.N., and Bartsokas, T.K. (2022). Computer Vision and Pattern Recognition for the Analysis of 2D\/3D Remote Sensing Data in Geoscience: A Survey. Remote Sens., 14.","DOI":"10.3390\/rs14236017"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/MAES.2020.3000318","article-title":"Multirotors video synthetic aperture radar: System development and signal processing","volume":"35","author":"Zhang","year":"2020","journal-title":"IEEE Aerosp. Electron. Syst. Mag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"14876","DOI":"10.3390\/rs71114876","article-title":"Mapping CORINE Land Cover from Sentinel-1A SAR and SRTM Digital Elevation Model Data using Random Forests","volume":"7","author":"Balzter","year":"2015","journal-title":"Remote Sens."},{"key":"ref_7","first-page":"1","article-title":"A Refined Pyramid Scene Parsing Network for Polarimetric SAR Image Semantic Segmentation in Agricultural Areas","volume":"19","author":"Zhang","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1109\/JSTARS.2022.3142990","article-title":"Investigating the Intra-Annual Dynamics of Kunlun Glacier in the West Kunlun Mountains, China, From Ascending and Descending Sentinel-1 SAR Observations","volume":"15","author":"Shi","year":"2022","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1109\/83.199920","article-title":"Convolution backprojection image reconstruction for spotlight mode synthetic aperture radar","volume":"1","author":"Desai","year":"1992","journal-title":"IEEE Trans Image Process."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1109\/TAES.2003.1238734","article-title":"Synthetic-aperture radar processing using fast factorized back-projection","volume":"39","author":"Ulander","year":"2003","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2949","DOI":"10.1109\/TAES.2011.6034676","article-title":"Efficient Time-Domain Image Formation with Precise Topography Accommodation for General Bistatic SAR Configurations","volume":"47","author":"Prats","year":"2011","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/TAES.1980.308875","article-title":"Range-Doppler Imaging of Rotating Objects","volume":"AES-16","author":"Walker","year":"1980","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1080\/01431169108929650","article-title":"A New Approach to Range-Doppler SAR Processing","volume":"12","author":"Smith","year":"1991","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1109\/36.298008","article-title":"Precision SAR processing using chirp scaling","volume":"32","author":"Raney","year":"1994","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"4246","DOI":"10.1109\/TGRS.2018.2890294","article-title":"Focusing improvement of curved trajectory spaceborne SAR based on optimal LRWC preprocessing and 2-D singular value decomposition","volume":"57","author":"Chen","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1109\/LGRS.2013.2295326","article-title":"A fast BP algorithm with wavenumber spectrum fusion for high-resolution spotlight SAR imaging","volume":"11","author":"Zhang","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1109\/LGRS.2018.2885196","article-title":"A Modified Cartesian Factorized Back-Projection Algorithm for Highly Squint Spotlight Synthetic Aperture Radar Imaging","volume":"16","author":"Luo","year":"2019","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"10635","DOI":"10.1109\/JSEN.2019.2932200","article-title":"Fast Barycentric-Based Back Projection Algorithm for SAR Imaging","volume":"19","author":"Radecki","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1109\/JSTARS.2017.2771503","article-title":"An adaptive fast factorized back-projection algorithm with integrated target detection technique for high-resolution and high-squint spotlight SAR imagery","volume":"11","author":"Ran","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3949","DOI":"10.1109\/JSTARS.2019.2945118","article-title":"Fast factorized backprojection imaging algorithm integrated with motion trajectory estimation for bistatic forward-looking SAR","volume":"12","author":"Pu","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2572","DOI":"10.1109\/TAP.2015.2416757","article-title":"Improved Pencil Back-Projection Method with Image Segmentation for Far-Field\/Near-Field SAR Imaging and RCS Extraction","volume":"63","author":"Tulgar","year":"2015","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1844","DOI":"10.1109\/TGRS.2008.2007591","article-title":"Focusing of airborne synthetic aperture radar data from highly nonlinear flight tracks","volume":"47","author":"Frey","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Lin, C., Tang, S., Zhang, L., and Guo, P. (2018). Focusing high-resolution airborne SAR with topography variations using and extended BPA based on a time\/frequency rotation principle. Remote Sens., 10.","DOI":"10.3390\/rs10081275"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Li, X., Zhou, S., and Yang, L. (2020). A new fast factorized back-projection algorithm with reduced topography sensibility for missile-borne SAR focusing with diving movement. Remote Sens., 12.","DOI":"10.3390\/rs12162616"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1109\/MGRS.2019.2955120","article-title":"InSAR phase denoising: A review of current technologies and future directions","volume":"8","author":"Xu","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1109\/TGRS.2017.2754098","article-title":"An extended moving target detection approach for high-resolution multichannel SAR-GMTI systems based on enhanced shadow-aided decision","volume":"56","author":"Xu","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1109\/JSTARS.2017.2786162","article-title":"Surface gradient approach for occlusion detection based on triangulated irregular network for true orthophoto generation","volume":"11","author":"Poz","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2138","DOI":"10.1109\/TGRS.2005.848417","article-title":"A comprehensive study on urban true orthorectification","volume":"43","author":"Zhou","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1111\/j.1477-9730.2007.00416.x","article-title":"Occlusion-compensated true orthorectification for high-resolution satellite images","volume":"22","author":"Chen","year":"2007","journal-title":"Photogramm. Rec."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.isprsjprs.2013.10.003","article-title":"Automatic representation and reconstruction of DBM from LiDAR data using recursive minimum bounding rectangle","volume":"93","author":"Kwak","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2222","DOI":"10.1109\/LGRS.2015.2459671","article-title":"Height-gradient-based method for occlusion detection in true orthophoto generation","volume":"12","author":"Oliveira","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1109\/36.124221","article-title":"SARAS: A synthetic aperture radar (SAR) raw signal simulator","volume":"30","author":"Franceschetti","year":"1992","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1109\/TGRS.2009.2029339","article-title":"Ray-Tracing Simulation Techniques for Understanding High-Resolution SAR Images","volume":"48","author":"Auer","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"25","DOI":"10.14358\/PERS.73.1.25","article-title":"New methodologies for true orthophoto generation","volume":"73","author":"Habib","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"083628","DOI":"10.1117\/1.JRS.8.083628","article-title":"Radar shadow detection in synthetic aperture radar images using digital elevation model and projections","volume":"8","author":"Prasath","year":"2014","journal-title":"J. Appl. Remote Sens."},{"key":"ref_36","first-page":"351","article-title":"Ground clutter suppression in airborne weather radar via terrain visibility analysis","volume":"34","author":"Qin","year":"2012","journal-title":"J. Electron. Inf. Technol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s10707-009-0100-9","article-title":"Efficient viewshed computation on terrain in external memory","volume":"15","author":"Andrade","year":"2011","journal-title":"GeoInformatica"},{"key":"ref_38","first-page":"1","article-title":"Fast method for SAR echo simulation of a three-dimensional ground scene","volume":"44","author":"Jing","year":"2017","journal-title":"J. Xidian Univ."},{"key":"ref_39","unstructured":"(2023, January 24). Sandia National Laboratories SAR image of Kirtland AFB Building, Available online: https:\/\/www.sandia.gov\/app\/uploads\/sites\/124\/2021\/06\/Ku-band-image-of-a-building-on-Kirtland-AFB.png."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1109\/MGRS.2013.2248301","article-title":"A tutorial on synthetic aperture radar","volume":"1","author":"Moreira","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.1109\/LGRS.2014.2301718","article-title":"An Omega-K Algorithm for Highly Squinted Missile-Borne SAR with Constant Acceleration","volume":"11","author":"Tang","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"8470","DOI":"10.1109\/TGRS.2020.3036635","article-title":"On the Mutual Interference Between Spaceborne SARs: Modeling, Characterization, and Mitigation","volume":"59","author":"Huang","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"5476","DOI":"10.1109\/TGRS.2019.2899728","article-title":"Ground moving target refocusing in SAR imagery based on RFRT-FrFT","volume":"57","author":"Huang","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"6914","DOI":"10.1109\/TGRS.2020.2977731","article-title":"High-resolution forward-looking multichannel SAR imagery with array deviation angle calibration","volume":"58","author":"Lu","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1049\/el.2018.7263","article-title":"General range model for multi-channel SAR\/GMTI with curvilinear flight trajectory","volume":"55","author":"Chen","year":"2019","journal-title":"Electron. Lett."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3298","DOI":"10.1109\/TGRS.2019.2953069","article-title":"Reweighted Tensor Factorization Method for SAR Narrowband and Wideband Interference Mitigation Using Smoothing Multiview Tensor Model","volume":"58","author":"Huang","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1109\/LGRS.2012.2236639","article-title":"On clutter sparsity analysis in space-time adaptive processing airborne radar","volume":"10","author":"Yang","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"3202","DOI":"10.1109\/TGRS.2011.2180392","article-title":"A robust motion compensation approach for UAV SAR imagery","volume":"50","author":"Zhang","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LGRS.2020.3011973","article-title":"An improved map-drift algorithm for unmanned aerial vehicle SAR imaging","volume":"18","author":"Huang","year":"2021","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Zhang, H., Tang, J., Wang, R., Deng, Y., Wang, W., and Li, N. (2018). An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing. Remote Sens., 10.","DOI":"10.3390\/rs10010140"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Guo, Y., Suo, Z., Jiang, P., and Li, H. (2021). A Fast Back-Projection SAR Imaging Algorithm Based on Wavenumber Spectrum Fusion for High Maneuvering Platforms. Remote Sens., 13.","DOI":"10.3390\/rs13091649"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Tong, X., Bao, M., Sun, G., Han, L., Zhang, Y., and Xing, M. (2021). Refocusing of Moving Ships in Squint SAR Images Based on Spectrum Orthogonalization. Remote Sens., 13.","DOI":"10.3390\/rs13142807"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1109\/LGRS.2011.2161456","article-title":"An Autofocus Method for Backprojection Imagery in Synthetic Aperture Radar","volume":"9","author":"Ash","year":"2012","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"6145","DOI":"10.1109\/TGRS.2019.2904608","article-title":"An Effective Autofocus Method for Fast Factorized Back-Projection","volume":"57","author":"Wu","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"23297","DOI":"10.1109\/JSEN.2021.3109640","article-title":"Efficient Ground Moving Target Imaging Method for Synthetic Aperture Radar With Target Azimuth Ambiguity","volume":"21","author":"Chen","year":"2021","journal-title":"IEEE Sens. J."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"8418","DOI":"10.1109\/TGRS.2021.3051192","article-title":"An Efficient Graph-Based Algorithm for Time-Varying Narrowband Interference Suppression on SAR System","volume":"59","author":"Huang","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhou, Y., Zhang, L., Lin, C., Huang, Y., and Tang, S. (2018). Ground Moving Target Imaging and Analysis for Near-Space Hypersonic Vehicle-Borne Synthetic Aperture Radar System with Squint Angle. Remote Sens., 10.","DOI":"10.3390\/rs10121966"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Gorham, L.A., and Moore, L.J. (2010, January 8\u20139). SAR image formation toolbox for MATLAB. Proceedings of the SPIE Algorithms for Synthetic Aperture Radar Imagery XVII, Orlando, FL, USA.","DOI":"10.1117\/12.855375"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1109\/LGRS.2011.2111411","article-title":"Efficient stripmap SAR raw data generation taking into account sensor trajectory deviations","volume":"8","author":"Khwaja","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"784","DOI":"10.1109\/LGRS.2011.2112633","article-title":"Efficient stripmap-mode SAR raw data simulation including platform angular deviations","volume":"8","author":"Dogan","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"2115","DOI":"10.1109\/JSTARS.2017.2787728","article-title":"Multiple mode SAR raw data simulation and parallel acceleration for Gaofen-3 mission","volume":"11","author":"Zhang","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"6619","DOI":"10.1109\/TGRS.2019.2907561","article-title":"First Demonstration of Joint Wireless Communication and High-Resolution SAR Imaging Using Airborne MIMO Radar System","volume":"57","author":"Wang","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/3\/726\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:16:25Z","timestamp":1760120185000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/3\/726"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,26]]},"references-count":62,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2023,2]]}},"alternative-id":["rs15030726"],"URL":"https:\/\/doi.org\/10.3390\/rs15030726","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,26]]}}}