{"id":"https://openalex.org/W4415883339","doi":"https://doi.org/10.1109/jstars.2025.3629124","title":"Segment Anything Model Driven Cross-Hierarchical Fusion Network for Remote Sensing Images Semantic Segmentation","display_name":"Segment Anything Model Driven Cross-Hierarchical Fusion Network for Remote Sensing Images Semantic Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415883339","doi":"https://doi.org/10.1109/jstars.2025.3629124"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3629124","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3629124","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3629124","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090204290","display_name":"He Fulin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fulin He","raw_affiliation_strings":["School of Electronic Information, Xijing University, Xi’an, China","School of Electronic Information, Xijing University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0009-8300-0068","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Xijing University, Xi’an, China","institution_ids":["https://openalex.org/I4210162994"]},{"raw_affiliation_string":"School of Electronic Information, Xijing University, Xi'an, China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003378750","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-5765-0827"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["School of Electronic Information, Xijing University, Xi’an, China","School of Electronic Information, Xijing University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5765-0827","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Xijing University, Xi’an, China","institution_ids":["https://openalex.org/I4210162994"]},{"raw_affiliation_string":"School of Electronic Information, Xijing University, Xi'an, China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008716861","display_name":"Nan Xu","orcid":"https://orcid.org/0000-0001-9912-2347"},"institutions":[{"id":"https://openalex.org/I4210120706","display_name":"Urban Planning & Design Institute of Shenzhen (China)","ror":"https://ror.org/01yp7yc97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120706"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Xu","raw_affiliation_strings":["School of Architecture and Urban Planning, Shenzhen University, Guangdong, China","School of Architecture & Urban Planning, Shenzhen University, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-9912-2347","affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Shenzhen University, Guangdong, China","institution_ids":["https://openalex.org/I4210120706"]},{"raw_affiliation_string":"School of Architecture & Urban Planning, Shenzhen University, Guangdong, China","institution_ids":["https://openalex.org/I4210120706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019805735","display_name":"Zhu\u2010Hong You","orcid":"https://orcid.org/0000-0003-1266-2696"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuhong You","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi’an, China","School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1266-2696","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060381913","display_name":"De-Shuang Huang","orcid":"https://orcid.org/0000-0002-6759-2691"},"institutions":[{"id":"https://openalex.org/I4210165264","display_name":"Guangxi Academy of Sciences","ror":"https://ror.org/054x1kd82","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deshuang Huang","raw_affiliation_strings":["Guangxi Academy of Sciences, Nanning, China"],"raw_orcid":"https://orcid.org/0000-0002-6759-2691","affiliations":[{"raw_affiliation_string":"Guangxi Academy of Sciences, Nanning, China","institution_ids":["https://openalex.org/I4210165264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40548372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"29511","last_page":"29530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.5131999850273132,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.5131999850273132,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.28519999980926514,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.10779999941587448,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5898000001907349},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5751000046730042},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4997999966144562},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49470001459121704},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47909998893737793},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47530001401901245},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4309999942779541},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42669999599456787},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.3862999975681305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802299976348877},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6051999926567078},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5898000001907349},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5751000046730042},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4997999966144562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47909998893737793},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45260000228881836},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.36329999566078186},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.3433000147342682},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3418999910354614},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3197999894618988},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.31439998745918274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2606000006198883},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.2587999999523163}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3629124","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3629124","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:977411610468429d9918434418726cfb","is_oa":true,"landing_page_url":"https://doaj.org/article/977411610468429d9918434418726cfb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 29511-29530 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3629124","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3629124","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4877271938","display_name":null,"funder_award_id":"2024M754225","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7915789691","display_name":null,"funder_award_id":"62172338","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1],"of":[2,11,56,125,170],"remote":[3,75],"sensing":[4,76],"images":[5,51],"(RSIs)":[6],"involves":[7],"dense,":[8],"pixel-wise":[9],"classification":[10],"high-resolution":[12],"satellite":[13],"images,":[14],"serving":[15],"as":[16],"a":[17,64,80,99,112,129],"foundational":[18],"technique":[19],"for":[20,74,120],"applications":[21],"including":[22],"land":[23],"cover":[24],"mapping,":[25],"urban":[26],"analysis,":[27],"and":[28,36,52,109,123,139,152,163],"environ":[29],"mental":[30],"monitoring.":[31],"However,":[32],"accurately":[33],"delineating":[34],"complex":[35,136],"diverse":[37],"objects":[38],"in":[39,143],"RSIs":[40],"is":[41,84,118,132,176],"challenging":[42],"due":[43],"to":[44,86,134],"the":[45,53,168],"large":[46],"domain":[47],"gap":[48],"from":[49],"natural":[50],"heterogeneous":[54],"characteristics":[55],"ground":[57],"objects.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"present":[63],"novel":[65],"segment":[66],"anything":[67],"model":[68],"driven":[69],"cross-hierarchical":[70],"fusion":[71,115,124],"network":[72],"(CHFNet)":[73],"semantic":[77,89,107],"segmentation.":[78],"Specifically,":[79],"SAM":[81],"based":[82],"encoder":[83],"utilized":[85],"extract":[87],"comprehensive":[88],"features,":[90],"which":[91],"are":[92],"further":[93,166],"aligned":[94],"with":[95],"convolutional":[96],"features":[97],"through":[98],"cross-modal":[100],"feature":[101,113],"alignment":[102],"module":[103,116],"(CFAM).":[104],"To":[105],"enhance":[106],"consistency":[108],"multi-scale":[110],"representation,":[111],"interaction":[114,122],"(FIFM)":[117],"introduced":[119],"deep":[121],"hierarchical":[126],"features.":[127],"Furthermore,":[128],"hypergraph-based":[130],"decoder":[131],"designed":[133],"capture":[135],"topological":[137],"structures":[138],"inherent":[140],"global":[141],"relationships":[142],"RSIs.":[144],"Extensive":[145],"experiments":[146],"on":[147],"benchmark":[148],"datasets":[149],"(ISPRS":[150],"Vaihingen":[151],"ISPRS":[153],"Potsdam)":[154],"demonstrate":[155],"that":[156],"CHFNet":[157],"consistently":[158],"out":[159],"performs":[160],"state-of-the-art":[161],"methods,":[162],"ablation":[164],"studies":[165],"verify":[167],"effectiveness":[169],"each":[171],"core":[172],"component.":[173],"The":[174],"code":[175],"available":[177],"at":[178],"https://github.com/darkseid-arch/RS-CHFNet.":[179]},"counts_by_year":[],"updated_date":"2025-12-04T23:47:47.292601","created_date":"2025-11-04T00:00:00"}