{"id":"https://openalex.org/W4402436631","doi":"https://doi.org/10.1109/tgrs.2024.3458446","title":"CTCFNet: CNN-Transformer Complementary and Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation","display_name":"CTCFNet: CNN-Transformer Complementary and Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402436631","doi":"https://doi.org/10.1109/tgrs.2024.3458446"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3458446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3458446","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":null,"display_name":"Chen Lu","orcid":"https://orcid.org/0000-0002-3612-8132"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Lu","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China","School of Automation, Southeast Univeristy, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast Univeristy, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xian Zhang","orcid":"https://orcid.org/0009-0004-5825-2435"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Zhang","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China","School of Automation, Southeast Univeristy, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast Univeristy, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020599164","display_name":"Kaile Du","orcid":"https://orcid.org/0000-0003-4074-6002"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaile Du","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China","School of Automation, Southeast Univeristy, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast Univeristy, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046043407","display_name":"Han Xu","orcid":"https://orcid.org/0000-0002-6291-2924"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Xu","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China","School of Automation, Southeast Univeristy, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast Univeristy, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019542310","display_name":"Guangcan Liu","orcid":"https://orcid.org/0000-0002-9428-4387"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcan Liu","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China","School of Automation, Southeast Univeristy, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Automation, Southeast Univeristy, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":5.9783,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96563031,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.984499990940094,"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":0.984499990940094,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9832000136375427,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9736999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7080333828926086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.591895341873169},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5782430171966553},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5709213018417358},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5574004650115967},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5441542267799377},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.52488774061203},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5243292450904846},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.42377376556396484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37230437994003296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3095780909061432},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16591516137123108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7080333828926086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.591895341873169},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5782430171966553},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5709213018417358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5574004650115967},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5441542267799377},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.52488774061203},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5243292450904846},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.42377376556396484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37230437994003296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3095780909061432},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16591516137123108},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3458446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3458446","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":[],"awards":[{"id":"https://openalex.org/G4479882814","display_name":null,"funder_award_id":"U21B2027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5675279837","display_name":null,"funder_award_id":"RF1028624061","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1865067283","https://openalex.org/W1903029394","https://openalex.org/W1966178163","https://openalex.org/W1977023447","https://openalex.org/W1978134781","https://openalex.org/W1995280601","https://openalex.org/W1998605300","https://openalex.org/W2024251696","https://openalex.org/W2054611379","https://openalex.org/W2057670944","https://openalex.org/W2058132610","https://openalex.org/W2059338368","https://openalex.org/W2078280004","https://openalex.org/W2102903558","https://openalex.org/W2103384355","https://openalex.org/W2113668461","https://openalex.org/W2137662901","https://openalex.org/W2150347412","https://openalex.org/W2155306480","https://openalex.org/W2166424889","https://openalex.org/W2412782625","https://openalex.org/W2528759164","https://openalex.org/W2555332322","https://openalex.org/W2560023338","https://openalex.org/W2748715875","https://openalex.org/W2787091153","https://openalex.org/W2884822772","https://openalex.org/W2886934227","https://openalex.org/W2895340641","https://openalex.org/W2910628332","https://openalex.org/W2916798096","https://openalex.org/W2946824094","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2981689412","https://openalex.org/W3034502973","https://openalex.org/W3117453769","https://openalex.org/W3128055887","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3159637683","https://openalex.org/W3169865585","https://openalex.org/W3170841864","https://openalex.org/W3196904463","https://openalex.org/W4205138939","https://openalex.org/W4226013274","https://openalex.org/W4285307646","https://openalex.org/W4376851337","https://openalex.org/W4385245566","https://openalex.org/W4390480870","https://openalex.org/W4391661470","https://openalex.org/W6640295612","https://openalex.org/W6718345901","https://openalex.org/W6739696289","https://openalex.org/W6766844300","https://openalex.org/W6797399245","https://openalex.org/W7043293641"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W1522196789","https://openalex.org/W2554736181"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,39,61,126,186,208],"of":[2,207],"high-resolution":[3,76,191],"remote":[4,77,192],"sensing":[5,78,193],"images":[6],"poses":[7],"challenges":[8],"such":[9],"as":[10,35,37,55],"scale":[11],"variability,":[12],"diverse":[13],"objects,":[14],"and":[15,32,51,63,67,72,89,104,114,131,150,179,210],"obstruction":[16],"by":[17,65],"surface":[18],"elements.":[19],"These":[20],"factors":[21],"often":[22],"lead":[23],"existing":[24],"methods":[25,204],"to":[26,59,110,123,146,161],"suffer":[27],"from":[28,75],"issues":[29],"like":[30],"missed":[31],"false":[33],"detections,":[34],"well":[36],"coarse":[38],"boundaries.":[40,132],"To":[41],"tackle":[42],"these":[43],"challenges,":[44],"this":[45,167],"article":[46],"proposes":[47],"a":[48,96,138,169],"CNN-transformer":[49],"complementary":[50,70],"fusion":[52,136],"network,":[53],"termed":[54],"CTCFNet.":[56],"It":[57],"aims":[58],"enhance":[60],"accuracy":[62,209],"robustness":[64],"extracting":[66],"integrating":[68],"the":[69,92,125,134,154,158,198,202],"global":[71,115,151],"local":[73,113,149],"information":[74],"images.":[79],"The":[80,212],"CTCFNet":[81],"operates":[82],"through":[83,176],"two":[84],"primary":[85],"stages:":[86],"feature":[87,93,97,135,139,159],"extraction":[88,94],"fusion.":[90],"In":[91,133],"stage,":[95,137],"extractor":[98,160],"employs":[99],"convolutional":[100],"neural":[101],"network":[102],"(CNN)":[103],"pyramid":[105],"vision":[106],"transformer":[107],"(PVT)":[108],"blocks":[109],"extract":[111],"both":[112,177],"features.":[116],"A":[117],"boundary":[118],"loss":[119],"is":[120,143,214],"also":[121],"proposed":[122,199],"improve":[124],"performance":[127],"for":[128],"object":[129],"textures":[130],"aggregation":[140],"module":[141],"(FAM)":[142],"first":[144],"designed":[145],"effectively":[147],"fuse":[148],"features":[152,175],"at":[153,216],"same":[155],"scale,":[156],"facilitating":[157],"obtain":[162],"more":[163,184],"comprehensive":[164],"representations.":[165],"On":[166],"basis,":[168],"bi-directional":[170],"decoder":[171],"(BiDecoder)":[172],"reconstructs":[173],"multiscale":[174],"top-down":[178],"bottom-up":[180],"directions,":[181],"resulting":[182],"in":[183,205],"precise":[185],"outputs.":[187],"Experiments":[188],"on":[189],"several":[190],"image":[194],"datasets":[195],"demonstrate":[196],"that":[197],"method":[200],"outperforms":[201],"state-of-the-art":[203],"terms":[206],"generalization.":[211],"code":[213],"available":[215],"<uri":[217],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[218],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/ChenLu0000/CTCFNet</uri>.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
