{"id":"https://openalex.org/W4319965827","doi":"https://doi.org/10.3390/rs15040974","title":"A Physically Interpretable Rice Field Extraction Model for PolSAR Imagery","display_name":"A Physically Interpretable Rice Field Extraction Model for PolSAR Imagery","publication_year":2023,"publication_date":"2023-02-10","ids":{"openalex":"https://openalex.org/W4319965827","doi":"https://doi.org/10.3390/rs15040974"},"language":"en","primary_location":{"id":"doi:10.3390/rs15040974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15040974","pdf_url":"https://www.mdpi.com/2072-4292/15/4/974/pdf?version=1676008361","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/4/974/pdf?version=1676008361","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070137907","display_name":"Ji Ge","orcid":"https://orcid.org/0000-0001-7710-4500"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Ge","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430255","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-0088-8148"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049052278","display_name":"Lu Xu","orcid":"https://orcid.org/0000-0003-2508-6800"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Xu","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058510128","display_name":"Chunling Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunling Sun","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025636469","display_name":"Haoxuan Duan","orcid":"https://orcid.org/0009-0001-6975-4287"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxuan Duan","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075682905","display_name":"Zihuan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihuan Guo","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115076700","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-4887-923X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100430255"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096250","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":10.555,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.97542968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"15","issue":"4","first_page":"974","last_page":"974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8523334860801697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6278531551361084},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.541573166847229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4797022044658661},{"id":"https://openalex.org/keywords/glutamine-amidotransferase","display_name":"Glutamine amidotransferase","score":0.47324830293655396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43804532289505005},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41733503341674805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34133803844451904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21587151288986206},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13258865475654602}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8523334860801697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6278531551361084},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.541573166847229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4797022044658661},{"id":"https://openalex.org/C75972863","wikidata":"https://www.wikidata.org/wiki/Q5572442","display_name":"Glutamine amidotransferase","level":4,"score":0.47324830293655396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43804532289505005},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41733503341674805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34133803844451904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21587151288986206},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13258865475654602},{"id":"https://openalex.org/C2779349466","wikidata":"https://www.wikidata.org/wiki/Q181619","display_name":"Glutamine","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C515207424","wikidata":"https://www.wikidata.org/wiki/Q8066","display_name":"Amino acid","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15040974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15040974","pdf_url":"https://www.mdpi.com/2072-4292/15/4/974/pdf?version=1676008361","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5a96591ab63347b8bd5b4d5404825bb3","is_oa":true,"landing_page_url":"https://doaj.org/article/5a96591ab63347b8bd5b4d5404825bb3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 4, p 974 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/4/974/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15040974","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15040974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15040974","pdf_url":"https://www.mdpi.com/2072-4292/15/4/974/pdf?version=1676008361","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319965827.pdf"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W2003323862","https://openalex.org/W2048159860","https://openalex.org/W2049719492","https://openalex.org/W2078587853","https://openalex.org/W2078985447","https://openalex.org/W2080672099","https://openalex.org/W2083788786","https://openalex.org/W2097272115","https://openalex.org/W2124527478","https://openalex.org/W2130470461","https://openalex.org/W2138520632","https://openalex.org/W2138608170","https://openalex.org/W2141424348","https://openalex.org/W2171688314","https://openalex.org/W2282821441","https://openalex.org/W2332488709","https://openalex.org/W2340533864","https://openalex.org/W2340768086","https://openalex.org/W2487649765","https://openalex.org/W2514863413","https://openalex.org/W2605409611","https://openalex.org/W2618851150","https://openalex.org/W2680780302","https://openalex.org/W2739349903","https://openalex.org/W2802874102","https://openalex.org/W2885138528","https://openalex.org/W2903282641","https://openalex.org/W2907663452","https://openalex.org/W2914124878","https://openalex.org/W2923165032","https://openalex.org/W2940542567","https://openalex.org/W2955098767","https://openalex.org/W2955789053","https://openalex.org/W2955928210","https://openalex.org/W2959673144","https://openalex.org/W2962833140","https://openalex.org/W2963233086","https://openalex.org/W2963609017","https://openalex.org/W2964045325","https://openalex.org/W2970013628","https://openalex.org/W2970696595","https://openalex.org/W2981007357","https://openalex.org/W2982365707","https://openalex.org/W2986339177","https://openalex.org/W2986830067","https://openalex.org/W2989237842","https://openalex.org/W3004518435","https://openalex.org/W3009518842","https://openalex.org/W3016213868","https://openalex.org/W3048844510","https://openalex.org/W3073623721","https://openalex.org/W3095627463","https://openalex.org/W3132493672","https://openalex.org/W3132790173","https://openalex.org/W3135196696","https://openalex.org/W3162003722","https://openalex.org/W3197307708","https://openalex.org/W3200089128","https://openalex.org/W3203247629","https://openalex.org/W3205323849","https://openalex.org/W4210692134","https://openalex.org/W4224250287","https://openalex.org/W4255808146","https://openalex.org/W4281770639","https://openalex.org/W4287879973","https://openalex.org/W4293211234","https://openalex.org/W4312730548","https://openalex.org/W6628852233","https://openalex.org/W6734194636","https://openalex.org/W6767284243","https://openalex.org/W6773738544","https://openalex.org/W6801882512","https://openalex.org/W6803524230"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W1482353703","https://openalex.org/W1481572597","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W1493509066","https://openalex.org/W4388422664","https://openalex.org/W2806259446"],"abstract_inverted_index":{"Reliable":[0],"and":[1,13,26,36,44,85,88,114,136,211,228,241],"timely":[2],"rice":[3,17,32,54,76,132,209,223],"distribution":[4,33],"information":[5],"is":[6],"of":[7,16,47,96,123,139,147,175,221],"great":[8],"value":[9,243],"for":[10,52,67,214],"real-time,":[11],"quantitative,":[12],"localized":[14],"control":[15],"production":[18],"information.":[19],"Synthetic":[20],"aperture":[21],"radar":[22],"(SAR)":[23],"has":[24,237],"all-weather":[25],"all-day":[27],"observation":[28],"capability":[29],"to":[30,119,160,170],"monitor":[31],"in":[34],"tropical":[35],"subtropical":[37],"areas.":[38],"To":[39],"improve":[40],"the":[41,48,89,108,121,137,145,162,167,172,176,187,195,200,208,222,229],"physical":[42,90,124,128,140,196],"interpretability":[43,46,240],"spatial":[45,154,163,173,212],"deep":[49],"learning":[50],"model":[51,65,113],"SAR":[53,69],"field":[55,83],"extraction,":[56],"a":[57,75,100,126,152,204,238],"new":[58],"SHapley":[59],"Additive":[60],"exPlanation":[61],"(SHAP)":[62],"value-guided":[63],"explanation":[64,197],"(SGEM)":[66],"polarimetric":[68,97],"(PolSAR)":[70],"data":[71],"was":[72,79,117,134,142,158,184,226],"proposed.":[73],"First,":[74],"sample":[77],"set":[78],"produced":[80],"based":[81],"on":[82],"survey":[84],"optical":[86],"data,":[87],"characteristics":[91],"were":[92],"extracted":[93],"using":[94],"decomposition":[95],"scattering.":[98],"Then":[99],"SHAP-based":[101],"Physical":[102],"Feature":[103],"Interpretable":[104],"Module":[105],"(SPFIM)":[106],"combing":[107],"long":[109],"short-term":[110],"memory":[111],"(LSTM)":[112],"SHAP":[115],"values":[116,165],"designed":[118],"analyze":[120],"importance":[122],"characteristics,":[125],"credible":[127],"interpretation":[129,141,155,164],"associated":[130],"with":[131,144,207,245],"phenology":[133],"provided,":[135],"weight":[138,146],"combined":[143],"original":[148],"PolSAR":[149],"data.":[150],"Moreover,":[151],"SHAP-guided":[153],"network":[156,168],"(SSEN)":[157],"constructed":[159],"internalize":[161],"into":[166],"layer":[169],"optimize":[171],"refinement":[174],"extraction":[177,216],"results.":[178,217],"Shanwei":[179],"City,":[180],"Guangdong":[181],"Province,":[182],"China,":[183],"chosen":[185],"as":[186],"study":[188],"area.":[189],"The":[190,218,234],"experimental":[191],"results":[192,225],"showed":[193],"that":[194],"provided":[198],"by":[199],"proposed":[201,235],"method":[202,236],"had":[203],"high":[205,239],"correlation":[206],"phenology,":[210],"self-interpretation":[213],"finer":[215],"overall":[219],"accuracy":[220],"mapping":[224],"95.73%,":[227],"kappa":[230],"coefficient":[231],"reached":[232],"0.9143.":[233],"practical":[242],"compared":[244],"other":[246],"methods.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
