{"id":"https://openalex.org/W4406094813","doi":"https://doi.org/10.1109/jstars.2025.3526336","title":"DBCF-Net: Enhanced Interactive Remote Sensing Image Segmentation With a Dual-Branch Network and Collaborative Feedback Integration","display_name":"DBCF-Net: Enhanced Interactive Remote Sensing Image Segmentation With a Dual-Branch Network and Collaborative Feedback Integration","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406094813","doi":"https://doi.org/10.1109/jstars.2025.3526336"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3526336","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3526336","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.2025.3526336","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101223031","display_name":"Bingzhi Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingzhi Shen","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pengyu Huo","orcid":"https://orcid.org/0009-0002-7135-4036"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Huo","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanming Liu","orcid":"https://orcid.org/0009-0000-9904-3737"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Liu","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuhao Wang","orcid":"https://orcid.org/0009-0003-1162-4628"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Wang","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zihao Li","orcid":"https://orcid.org/0009-0000-4607-5575"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Li","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mingchen Li","orcid":"https://orcid.org/0009-0009-8305-5376"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchen Li","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107748287","display_name":"Xinwei Li","orcid":"https://orcid.org/0000-0003-2452-2818"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Li","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101223031"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.6542,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91494094,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"18","issue":null,"first_page":"6192","last_page":"6205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8962000012397766,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8962000012397766,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.8808000087738037,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.8307999968528748,"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":0.7961200475692749},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6958768367767334},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5834773182868958},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49491971731185913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4947790503501892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.444553941488266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43229252099990845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7961200475692749},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6958768367767334},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5834773182868958},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49491971731185913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4947790503501892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.444553941488266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43229252099990845},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3526336","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3526336","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:2d72ae7d3f354927b30469059370dbd3","is_oa":true,"landing_page_url":"https://doaj.org/article/2d72ae7d3f354927b30469059370dbd3","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 6192-6205 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3526336","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3526336","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/G4254983721","display_name":null,"funder_award_id":"BLX201610","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1903029394","https://openalex.org/W2003192903","https://openalex.org/W2018587953","https://openalex.org/W2087122984","https://openalex.org/W2121947440","https://openalex.org/W2125637308","https://openalex.org/W2143516773","https://openalex.org/W2300469113","https://openalex.org/W2533218643","https://openalex.org/W2560622558","https://openalex.org/W2573355916","https://openalex.org/W2609402060","https://openalex.org/W2761394904","https://openalex.org/W2769833683","https://openalex.org/W2776163999","https://openalex.org/W2783877714","https://openalex.org/W2799089472","https://openalex.org/W2888092206","https://openalex.org/W2908320224","https://openalex.org/W2948553897","https://openalex.org/W2962967409","https://openalex.org/W2963072537","https://openalex.org/W2963351448","https://openalex.org/W2964221652","https://openalex.org/W2964307987","https://openalex.org/W2991405684","https://openalex.org/W3009158303","https://openalex.org/W3018169007","https://openalex.org/W3034278117","https://openalex.org/W3034550159","https://openalex.org/W3034586976","https://openalex.org/W3039043475","https://openalex.org/W3040196063","https://openalex.org/W3132926949","https://openalex.org/W4205138939","https://openalex.org/W4205365435","https://openalex.org/W4226458380","https://openalex.org/W4248671083","https://openalex.org/W4285207230","https://openalex.org/W4288391486","https://openalex.org/W4290043210","https://openalex.org/W4296963676","https://openalex.org/W4312317517","https://openalex.org/W4312336332","https://openalex.org/W4312710812","https://openalex.org/W4312795296","https://openalex.org/W4319865627","https://openalex.org/W4323897048","https://openalex.org/W4367333248","https://openalex.org/W4385245566","https://openalex.org/W4386076245","https://openalex.org/W4387250634","https://openalex.org/W4389252504","https://openalex.org/W4393285773","https://openalex.org/W4394585876","https://openalex.org/W4394730850","https://openalex.org/W6648430041","https://openalex.org/W6753138818","https://openalex.org/W6780178431","https://openalex.org/W6782846287","https://openalex.org/W6849658256"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W4379231730","https://openalex.org/W2952466936","https://openalex.org/W4389858081","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W4236344264","https://openalex.org/W3046201198","https://openalex.org/W1522196789","https://openalex.org/W2352553236"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,31],"is":[2,22,128,206],"crucial":[3],"for":[4],"the":[5,38,107,141,158,164,172,191,204],"precise":[6],"analysis":[7],"of":[8,40,84,193],"remote":[9],"sensing":[10],"(RS)":[11],"images.":[12],"However,":[13,48],"it":[14],"heavily":[15],"relies":[16],"on":[17,132,137,171],"high-quality":[18],"data":[19,42],"annotation,":[20],"which":[21,96],"often":[23],"expensive":[24],"and":[25,60,78,90,101,135,169,174],"labor-intensive":[26],"to":[27,36,115,189],"obtain.":[28],"Interactive":[29],"image":[30,155],"methods":[32,50],"have":[33],"been":[34],"introduced":[35],"make":[37],"annotation":[39],"RS":[41,154],"more":[43],"efficient":[44],"through":[45],"user":[46,57,118],"interaction.":[47],"current":[49],"encounter":[51],"challenges":[52],"extracting":[53],"edge":[54,102],"features,":[55],"utilizing":[56],"interaction":[58,119],"information,":[59],"understanding":[61],"complex":[62],"scenes.":[63],"To":[64],"tackle":[65],"these":[66],"issues,":[67],"we":[68,105],"propose":[69],"a":[70,85,179,186],"dual-branch":[71],"network":[72],"structure":[73],"named":[74],"DBCF-Net":[75,82,148],"(Dual-Branch":[76],"Network":[77],"Collaborative":[79,108],"Feedback":[80,109],"Integration).":[81],"consists":[83],"Global":[86],"Feature":[87],"Extraction":[88],"Branch":[89],"an":[91],"Edge":[92],"Information":[93],"Enhancement":[94],"Branch,":[95],"effectively":[97,116],"integrate":[98],"global":[99],"features":[100],"information.":[103],"Moreover,":[104],"incorporate":[106],"Integration":[110],"mechanism":[111],"into":[112],"our":[113,161],"framework":[114,184],"utilize":[117],"in":[120,152],"high-level":[121],"feature":[122],"maps.":[123],"A":[124],"hybrid":[125],"training":[126,131],"strategy":[127],"implemented,":[129],"involving":[130],"multiple":[133],"datasets":[134],"refinement":[136],"specific":[138],"datasets,":[139],"enhancing":[140],"model's":[142],"generalization":[143],"ability.":[144],"Experiments":[145],"demonstrate":[146],"that":[147],"achieves":[149],"competitive":[150],"performance":[151],"interactive":[153],"segmentation.":[156],"On":[157],"WHU":[159],"dataset,":[160],"method":[162],"outperforms":[163],"RITM":[165],"model":[166],"by":[167],"10.40%":[168],"38.97%":[170],"NoC@85":[173],"NoC@90":[175],"metrics,":[176],"respectively,":[177],"indicating":[178],"significant":[180],"improvement.":[181],"The":[182,196],"proposed":[183],"provides":[185],"promising":[187],"solution":[188],"alleviate":[190],"workload":[192],"manual":[194],"annotations.":[195],"code":[197],"will":[198],"be":[199],"available":[200],"at":[201],"https://github.com/PengyuHuo/DBCF-Net":[202],"after":[203],"article":[205],"accepted.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
