{"id":"https://openalex.org/W4406208170","doi":"https://doi.org/10.1109/tgrs.2025.3527515","title":"Sentinel-1/2 Image Fusion Coupled With CSR, GAN, and Temporal Phenology Feature Construction for Cropland Mapping","display_name":"Sentinel-1/2 Image Fusion Coupled With CSR, GAN, and Temporal Phenology Feature Construction for Cropland Mapping","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406208170","doi":"https://doi.org/10.1109/tgrs.2025.3527515"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3527515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3527515","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113282253","display_name":"Mengqing Pang","orcid":"https://orcid.org/0000-0002-0037-2686"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqing Pang","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0037-2686","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074230887","display_name":"Qihao Chen","orcid":"https://orcid.org/0000-0002-7250-8781"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihao Chen","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7250-8781","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiali Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I1331897569","display_name":"Agriculture and Agri-Food Canada","ror":"https://ror.org/051dzs374","country_code":"CA","type":"government","lineage":["https://openalex.org/I1331897569","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiali Shang","raw_affiliation_strings":["Ottawa Research and Development Center, Agriculture and Agri-Food Canada, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ottawa Research and Development Center, Agriculture and Agri-Food Canada, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I1331897569"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weijia Long","orcid":"https://orcid.org/0009-0004-7263-9476"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Long","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0004-7263-9476","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088181131","display_name":"Xiuguo Liu","orcid":"https://orcid.org/0000-0002-0045-9642"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuguo Liu","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0045-9642","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8056,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91535601,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9059000015258789,"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/phenology","display_name":"Phenology","score":0.5856071710586548},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5603823065757751},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5388187766075134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.510365903377533},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49246129393577576},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3854871690273285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35063329339027405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34694936871528625},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21620261669158936}],"concepts":[{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.5856071710586548},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5603823065757751},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5388187766075134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.510365903377533},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49246129393577576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3854871690273285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35063329339027405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34694936871528625},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21620261669158936},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3527515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3527515","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G1331585829","display_name":null,"funder_award_id":"ZRZY2023KJ01","funder_id":"https://openalex.org/F4320329856","funder_display_name":"Liuzhou Science and Technology Project"},{"id":"https://openalex.org/G2935570825","display_name":"\u57fa\u4e8e\u8d85\u50cf\u7d20\u7684\u6781\u5316SAR\u57ce\u533a\u5efa\u7b51\u5bc6\u5ea6\u548c\u5bb9\u79ef\u7387\u4f30\u8ba1\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41771467","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329856","display_name":"Liuzhou Science and Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2012974565","https://openalex.org/W2033557294","https://openalex.org/W2079299474","https://openalex.org/W2097061348","https://openalex.org/W2100329651","https://openalex.org/W2139529730","https://openalex.org/W2146353910","https://openalex.org/W2153777140","https://openalex.org/W2159269332","https://openalex.org/W2163334907","https://openalex.org/W2190662802","https://openalex.org/W2303172903","https://openalex.org/W2532801510","https://openalex.org/W2542417043","https://openalex.org/W2559870345","https://openalex.org/W2594466018","https://openalex.org/W2745131289","https://openalex.org/W2767512561","https://openalex.org/W2808591023","https://openalex.org/W2912147220","https://openalex.org/W2963446712","https://openalex.org/W2976120863","https://openalex.org/W2999000103","https://openalex.org/W2999712229","https://openalex.org/W3083574456","https://openalex.org/W3138000966","https://openalex.org/W3143068962","https://openalex.org/W3205401303","https://openalex.org/W4283732315","https://openalex.org/W4286361941","https://openalex.org/W4312039421","https://openalex.org/W4312723186","https://openalex.org/W4367294505","https://openalex.org/W4382360582","https://openalex.org/W4386076504","https://openalex.org/W4386357719","https://openalex.org/W4390284956","https://openalex.org/W4391100112","https://openalex.org/W4391547877","https://openalex.org/W4391892601","https://openalex.org/W4393094185","https://openalex.org/W4399557845","https://openalex.org/W4399686814","https://openalex.org/W4399693560","https://openalex.org/W4400977335","https://openalex.org/W4401409936","https://openalex.org/W4401507829","https://openalex.org/W4401993447","https://openalex.org/W4402781644","https://openalex.org/W6803524230"],"related_works":["https://openalex.org/W2373524250","https://openalex.org/W4206027277","https://openalex.org/W2388003193","https://openalex.org/W2367450255","https://openalex.org/W2243549226","https://openalex.org/W2184048517","https://openalex.org/W2373946551","https://openalex.org/W2032636564","https://openalex.org/W2350275110","https://openalex.org/W2381578981"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR)":[3],"and":[4,33,36,59,75,89,100,106,115,150,173,182,192,200,209,211,236],"optical":[5],"image":[6],"fusion":[7,23,70],"can":[8],"leverage":[9],"the":[10,113,126,136,195,205,213,220,233],"strength":[11],"of":[12,118,197,226],"both":[13,180],"data":[14],"sources":[15],"for":[16,72,81],"improved":[17,82],"ground":[18,49,142],"object":[19,143],"identification.":[20],"However,":[21],"existing":[22],"methods":[24,172,178],"often":[25],"encounter":[26],"challenges":[27],"such":[28,52],"as":[29,53],"spatial":[30,88],"information":[31],"loss":[32],"spectral":[34,90],"distortion,":[35],"few":[37],"studies":[38],"address":[39,63],"scenarios":[40,222],"where":[41],"fused":[42,157,193,198],"images":[43,74,158,199],"struggle":[44],"to":[45,111,134,159,223],"distinguish":[46],"between":[47,207],"distinct":[48],"objects":[50],"simultaneously,":[51],"crops":[54],"at":[55],"different":[56],"growth":[57,138,148],"stages":[58],"low":[60],"woodland.":[61],"To":[62,85],"these":[64],"challenges,":[65],"we":[66,140],"propose":[67],"a":[68,77,147,224],"hybrid":[69],"method":[71,93,168],"Sentinel-1/2":[73],"construct":[76,151],"temporal":[78,152,201],"phenology":[79,153,202],"feature":[80,154,203],"crop":[83,137,161],"mapping.":[84],"efficiently":[86],"preserve":[87],"information,":[91],"our":[92,167],"combines":[94],"principal":[95],"component":[96],"analysis":[97],"(PCA)":[98],"transform,":[99],"utilizes":[101],"convolution":[102],"sparse":[103],"representation":[104],"(CSR)":[105],"generative":[107],"adversarial":[108],"network":[109],"(GAN)":[110],"fuse":[112],"high-":[114],"low-frequency":[116],"coefficients":[117],"nonsubsampled":[119],"shearlet":[120],"transform":[121],"(NSST),":[122],"respectively.":[123],"Furthermore,":[124],"leveraging":[125],"annual":[127],"normalized":[128],"difference":[129],"vegetation":[130],"index":[131],"(NDVI)":[132],"curve":[133],"capture":[135],"cycle,":[139],"analyze":[141],"change":[144],"patterns":[145],"across":[146,179],"cycle":[149],"based":[155],"on":[156],"enhance":[160],"classification":[162,215],"accuracy.":[163,216],"Results":[164],"demonstrate":[165],"that":[166],"outperforms":[169],"six":[170],"classical":[171],"five":[174],"state-of-the-art":[175],"deep":[176],"learning":[177],"subjective":[181],"objective":[183],"evaluation":[184],"performance.":[185],"When":[186],"compared":[187],"with":[188],"independent":[189],"SAR,":[190],"optical,":[191],"images,":[194],"combination":[196],"improves":[204],"distinction":[206],"cropland":[208],"woodland":[210],"achieves":[212],"highest":[214],"We":[217],"also":[218],"expand":[219],"application":[221],"total":[225],"twelve":[227],"agricultural":[228],"regions":[229],"in":[230],"China,":[231],"Canada,":[232],"United":[234],"States":[235],"France,":[237],"yielding":[238],"satisfactory":[239],"results.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}