{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T05:56:29Z","timestamp":1761630989276,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T00:00:00Z","timestamp":1648512000000},"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":["62171023","41871272","U20B2062"],"award-info":[{"award-number":["62171023","41871272","U20B2062"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Because transmitting polarization can be an arbitrary elliptical wave, and theoretically, there are numerous possibilities of hybrid dual-pol modes, therefore, it is necessary to explore the feature recognition and classification ability of compact polarimetric (CP) parameters under different transmitting and receiving modes to different ground objects. In this paper, we first simulated, extracted, and analyzed the scattering intensity of two types of rice of six temporal CP synthetic aperture radar (SAR) data under three transmitting modes. Then, during different phenology stages, the optimal parameters for distinguishing transplanting hybrid rice (T\u2013H) and direct-sown japonica rice (D\u2013J) were acquired. Finally, a decision tree classification model was established based on the optimal parameters to carry out the fine classification of the two types of rice and to verify the results. The results showed that this strategy can obtain a high classification accuracy for the two types of rice with an overall classification accuracy of more than 95% and a kappa coefficient of more than 0.94. In addition, and importantly, we found that the CP parameters in the 1103 period (harvest stage) were the best CP parameters to distinguish the two types of rice, followed by the 0730 (seedling\u2013elongation stage), 0612 (seedling stage), and 0916 (heading\u2013flowering stage) periods.<\/jats:p>","DOI":"10.3390\/rs14071644","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T21:45:51Z","timestamp":1648590351000},"page":"1644","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Scattering Intensity Analysis and Classification of Two Types of Rice Based on Multi-Temporal and Multi-Mode Simulated Compact Polarimetric SAR Data"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5795-9533","authenticated-orcid":false,"given":"Xianyu","family":"Guo","sequence":"first","affiliation":[{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0901-0577","authenticated-orcid":false,"given":"Junjun","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Kun","family":"Li","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, Beijing 100084, China"}]},{"given":"Yun","family":"Shao","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Maclean, J.L., Dawe, D.C., Hardy, B., and Hettel, G.P. (2002). Rice Almanac: Source Book for the Most Important Economic Activity on Earth, International Rice Research Institute (IRRI).","DOI":"10.1079\/9780851996363.0000"},{"key":"ref_2","first-page":"1155","article-title":"Technical Characteristics and Potential Application of the New Generation SAR for Earth Observation","volume":"56","author":"Guo","year":"2011","journal-title":"Chin. Sci. Bull."},{"key":"ref_3","first-page":"1065","article-title":"Information Extraction Application of Compact Polarimetric SAR Data","volume":"18","author":"Zhang","year":"2013","journal-title":"J. Image Graph."},{"key":"ref_4","unstructured":"Yang, H. (2015). Study on Quantitative Crop Monitoring by Time Series of Fully Polarimetric and Compact Polarimetric SAR Imagery, Chinese Academy of Forestry."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1109\/TGRS.2004.842486","article-title":"Compact Polarimetry Based on Symmetry Properties of Geophysical Media: The \u03c0\/4 Mode","volume":"43","author":"Souyris","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","unstructured":"Souyris, J.C., and Mingot, S. (2002, January 24\u201328). Polarimetry Based on One Transmitting and Two Receiving Polarizations: The \u03c0\/4 Mode. Proceedings of the 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Toronto, ON, Canada."},{"key":"ref_7","unstructured":"Stacy, N., and Preiss, M. (2006, January 16\u201318). Compact Polarimetric Analysis of X-Band SAR Data. Proceedings of the EUSAR 2006-6th European Conference on Synthetic Aperture Radar, Dresden, Germany."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1109\/LGRS.2006.871746","article-title":"Dual-Polarized SAR and Stokes Parameters","volume":"3","author":"Raney","year":"2006","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3397","DOI":"10.1109\/TGRS.2007.895883","article-title":"Hybrid-Polarity SAR Architecture","volume":"45","author":"Raney","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"10322","DOI":"10.1109\/TGRS.2019.2933556","article-title":"Formalism of Compact Polarimetric Descriptors and Extension of the \u2206\u03b1B\/\u03b1B Method for General Compact-Pol SAR","volume":"57","author":"Yin","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3531","DOI":"10.1080\/01431161.2011.631058","article-title":"Comparison of Hybrid-Pol with Quad-Pol Scheme Based on Polarimetric Information Content","volume":"33","author":"Panigrahi","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/TGRS.2008.2000925","article-title":"Comparison of Compact Polarimetric Synthetic Aperture Radar Modes","volume":"47","author":"Nord","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1109\/TGRS.2012.2199760","article-title":"On the Reconstruction of Quad-Pol SAR Data from Compact Polarimetry Data for Ocean Target Detection","volume":"51","author":"Collins","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3746","DOI":"10.1109\/JSTARS.2019.2910395","article-title":"Least-Squares Estimation for Pseudo Quad-Pol Image Reconstruction from Linear Compact Polarimetric SAR","volume":"12","author":"Yin","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Yin, J., and Yang, J. (2021). Framework for Reconstruction of Pseudo Quad Polarimetric Imagery from General Compact Polarimetry. Remote Sens., 13.","DOI":"10.3390\/rs13030530"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Xie, Q., Wang, J., Liao, C., Shang, J., Lopez-Sanchez, J.M., Fu, H., and Liu, X. (2019). On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data. Remote Sens., 11.","DOI":"10.3390\/rs11070776"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"5550","DOI":"10.1109\/TGRS.2018.2819694","article-title":"Large-Area Land Use and Land Cover Classification With Quad, Compact, and Dual Polarization SAR Data by PALSAR-2","volume":"56","author":"Ohki","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"6321","DOI":"10.1109\/TGRS.2020.2976661","article-title":"A Radar Vegetation Index for Crop Monitoring Using Compact Polarimetric SAR Data","volume":"58","author":"Mandal","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Guo, X., Li, K., Shao, Y., Wang, Z., Li, H., Yang, Z., Liu, L., and Wang, S. (2018). Inversion of Rice Biophysical Parameters Using Simulated Compact Polarimetric SAR C-Band Data. Sensors, 18.","DOI":"10.3390\/s18072271"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"5394","DOI":"10.1109\/TGRS.2018.2815592","article-title":"Adaptive Ship Detection in Hybrid-Polarimetric SAR Images Based on the Power-Entropy Decomposition","volume":"55","author":"Gao","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"5380","DOI":"10.1109\/TGRS.2018.2815582","article-title":"Ship Detection Using Compact Polarimetric SAR Based on the Notch Filter","volume":"56","author":"Gao","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1109\/LGRS.2020.3005683","article-title":"Ship Detection From PolSAR Imagery Using the Hybrid Polarimetric Covariance Matrix","volume":"18","author":"Zhang","year":"2021","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"7476","DOI":"10.1109\/TGRS.2019.2913796","article-title":"Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data","volume":"57","author":"Ghanbari","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1007\/s11707-018-0733-9","article-title":"Comparison of C- and L-band Simulated Compact Polarized SAR in Oil Spill Detection","volume":"13","author":"Wang","year":"2019","journal-title":"Front. Earth Sci."},{"key":"ref_25","first-page":"20","article-title":"Fine Classification of Rice with Multi-Temporal Compact Polarimetric SAR Based on SVM+SFS Strategy","volume":"30","author":"Guo","year":"2018","journal-title":"Remote Sens. Land Resour."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2010","DOI":"10.1080\/10106049.2019.1687589","article-title":"Identification of Optimal Single Date for Rice Crop Discrimination and Relationships Between Backscatter and Biophysical Parameters Using RISAT-1 Hybrid Polarimetric SAR Data","volume":"36","author":"Uppala","year":"2019","journal-title":"Geocarto Int."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"557","DOI":"10.14358\/PERS.81.7.557","article-title":"Rice Crop Discrimination Using Single Date RISAT1 Hybrid (RH, RV) Polarimetric Data","volume":"81","author":"Uppala","year":"2015","journal-title":"Photogramm. Eng. Remote Rens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1300","DOI":"10.1002\/2014RS005498","article-title":"Rice Growth Monitoring Using Simulated Compact Polarimetric C band SAR","volume":"49","author":"Yang","year":"2014","journal-title":"Radio Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1111\/j.1365-3180.1974.tb01084.x","article-title":"A decimal code for the growth stages of cereals","volume":"14","author":"Zadoks","year":"1974","journal-title":"Weed Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1046\/j.1365-3180.1997.d01-70.x","article-title":"Use of the extended BBCH scale\u2014General for the descriptions of the growth stages of mono and dicotyledonous weed species","volume":"37","author":"Hess","year":"1997","journal-title":"Weed Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1738014","DOI":"10.1155\/2018\/1738014","article-title":"Ocean Wave Information Retrieval Using Simulated Compact Polarized SAR from Radarsat-2","volume":"2018","author":"Wang","year":"2018","journal-title":"J. Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"3299","DOI":"10.1109\/TGRS.2012.2224119","article-title":"Target detection on the ocean with the relative phase of compact polarimetry SAR","volume":"51","author":"Li","year":"2013","journal-title":"IEEE Trans Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"298","DOI":"10.5589\/m10-062","article-title":"Compact polarimetry overview and applications assessment","volume":"36","author":"Charbonneau","year":"2010","journal-title":"Can. J. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"062307","DOI":"10.1007\/s11432-015-5478-4","article-title":"Model-based target decomposition with the \u03c0\/4 mode compact polarimetry data","volume":"59","author":"Guo","year":"2016","journal-title":"Sci. China Inf. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.rse.2013.08.035","article-title":"Towards sea ice classification using simulated RADARSAT Constellation Mission compact polarimetric SAR imagery","volume":"140","author":"Dabboor","year":"2014","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/7\/1644\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:46:04Z","timestamp":1760136364000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/7\/1644"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,29]]},"references-count":35,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2022,4]]}},"alternative-id":["rs14071644"],"URL":"https:\/\/doi.org\/10.3390\/rs14071644","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2022,3,29]]}}}