{"id":"https://openalex.org/W4413785236","doi":"https://doi.org/10.1109/lgrs.2025.3603294","title":"Bridging Temporal and Spatial\u2013Spectral Features With Satellite Image Time Series: TAS<sup>2</sup>B-Net for Crop Semantic Segmentation","display_name":"Bridging Temporal and Spatial\u2013Spectral Features With Satellite Image Time Series: TAS<sup>2</sup>B-Net for Crop Semantic Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413785236","doi":"https://doi.org/10.1109/lgrs.2025.3603294"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3603294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3603294","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5102380642","display_name":"Xiaohan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohan Luo","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0005-2651-7977","affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109794927","display_name":"Hangyu Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangyu Dai","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0005-9114-4855","affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055839817","display_name":"Vladimir Lysenko","orcid":"https://orcid.org/0000-0003-2379-5611"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Lysenko","raw_affiliation_strings":["Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia"],"raw_orcid":"https://orcid.org/0000-0003-2379-5611","affiliations":[{"raw_affiliation_string":"Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109877589","display_name":"Jinglu Tan","orcid":"https://orcid.org/0000-0001-6211-0983"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinglu Tan","raw_affiliation_strings":["Department of Chemical and Biomedical Engineering, University of Missouri, Columbia, MO, USA","Department of Chemical &#x0026; Biomedical Engineering, University of Missouri, Columbia, MO, USA"],"raw_orcid":"https://orcid.org/0000-0001-6211-0983","affiliations":[{"raw_affiliation_string":"Department of Chemical and Biomedical Engineering, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Chemical &#x0026; Biomedical Engineering, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ya Guo","orcid":"https://orcid.org/0000-0002-8016-988X"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Guo","raw_affiliation_strings":["School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-8016-988X","affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102380642"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23735327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9415000081062317,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9075999855995178,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5732307434082031},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5579031705856323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5533275604248047},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5426495671272278},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5377082824707031},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4405606985092163},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4398232400417328},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.414175808429718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4060693681240082},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.336336612701416},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17596286535263062},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16376647353172302},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09783387184143066}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5732307434082031},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5579031705856323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5533275604248047},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5426495671272278},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5377082824707031},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4405606985092163},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4398232400417328},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.414175808429718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4060693681240082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.336336612701416},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17596286535263062},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16376647353172302},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09783387184143066},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3603294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3603294","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1103876958","display_name":null,"funder_award_id":"B23008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1196718308","display_name":null,"funder_award_id":"51961125102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2413371583","display_name":null,"funder_award_id":"31771680","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6625608275","display_name":null,"funder_award_id":"B23008","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3034847898","https://openalex.org/W3037002701","https://openalex.org/W3110829070","https://openalex.org/W3137327109","https://openalex.org/W3185151088","https://openalex.org/W3207200417","https://openalex.org/W4289752563","https://openalex.org/W4295046720","https://openalex.org/W4365148261","https://openalex.org/W4386065702","https://openalex.org/W4389308054","https://openalex.org/W4390607664","https://openalex.org/W4402754250","https://openalex.org/W4404431951"],"related_works":["https://openalex.org/W4408719353","https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W2667588871","https://openalex.org/W2272354214","https://openalex.org/W1522196789","https://openalex.org/W2383151488"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,60],"based":[2],"on":[3,148],"satellite":[4,40],"image":[5],"time":[6],"series":[7],"(SITS)":[8],"is":[9],"fundamental":[10],"to":[11,46,58,80,131],"a":[12,67,76,125],"wide":[13],"range":[14],"of":[15,54,90,162],"geospatial":[16],"applications,":[17],"including":[18],"land":[19],"cover":[20],"mapping":[21],"and":[22,51,107,118,151,164,172],"urban":[23],"development":[24],"analysis.":[25],"By":[26],"integrating":[27],"crop":[28,83],"phenological":[29],"dynamics":[30],"over":[31],"time,":[32],"SITS":[33,55],"provides":[34],"richer":[35],"spatiotemporal":[36],"information":[37,134],"than":[38],"static":[39],"imagery.":[41],"However,":[42],"existing":[43],"models":[44],"fail":[45],"effectively":[47],"process":[48],"the":[49,94,108,149,156],"temporal":[50,68,97,102],"spatial-spectral":[52,70],"dimensions":[53],"independently,":[56],"leading":[57],"reduced":[59],"accuracy.":[61],"In":[62],"this":[63],"letter,":[64],"we":[65,123],"propose":[66],"aggregation":[69],"bridge":[71],"network":[72,88,158],"(TAS<sup":[73],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[74],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>B-Net),":[75],"novel":[77],"architecture":[78],"designed":[79],"extract":[81],"fine-grained":[82],"features":[84],"from":[85],"SITS.":[86],"The":[87],"consists":[89],"two":[91],"key":[92],"components:":[93],"pixel-aware":[95],"grouping":[96],"integrator":[98],"(PGTI),":[99],"which":[100,114],"captures":[101],"dependencies":[103],"within":[104],"pixel":[105],"groups,":[106],"edge-aware":[109],"contextual":[110,133],"fusion":[111],"head":[112],"(ECFH),":[113],"enhances":[115],"spatial":[116],"boundary":[117],"global":[119],"structural":[120],"representation.":[121],"Additionally,":[122],"introduce":[124],"lightweight":[126],"multiscale":[127],"spectral":[128,137],"decoder":[129],"(LMSD)":[130],"aggregate":[132],"across":[135],"multiple":[136],"scales,":[138],"further":[139],"improving":[140],"feature":[141],"learning":[142],"for":[143,176],"semantic":[144,178],"segmentation.":[145,179],"Extensive":[146],"experiments":[147],"PASTIS":[150],"MTLCC":[152],"datasets":[153],"show":[154],"that":[155],"proposed":[157],"achieves":[159],"mIoU":[160],"scores":[161],"68.91%":[163],"84.59%,":[165],"respectively,":[166],"outperforming":[167],"eight":[168],"state-of-the-art":[169],"(SOTA)":[170],"methods":[171],"setting":[173],"new":[174],"benchmarks":[175],"SITS-based":[177]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}