{"id":"https://openalex.org/W7092295045","doi":"https://doi.org/10.1109/jstars.2025.3623154","title":"Multiscale Cross-Axis Position Attention and Edge-Constrained Knowledge Distillation for Road Extraction in High-Resolution Remote Sensing Images","display_name":"Multiscale Cross-Axis Position Attention and Edge-Constrained Knowledge Distillation for Road Extraction in High-Resolution Remote Sensing Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7092295045","doi":"https://doi.org/10.1109/jstars.2025.3623154"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3623154","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3623154","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.2025.3623154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Min Zhong","orcid":"https://orcid.org/0009-0001-5451-2269"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Zhong","raw_affiliation_strings":["School of Surveying Mapping and Spatial Information Engineering, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying Mapping and Spatial Information Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ting He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting He","raw_affiliation_strings":["School of Surveying Mapping and Spatial Information Engineering, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying Mapping and Spatial Information Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yingjie Huang","orcid":"https://orcid.org/0009-0001-3034-044X"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Huang","raw_affiliation_strings":["School of Surveying Mapping and Spatial Information Engineering, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying Mapping and Spatial Information Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haiqing He","orcid":"https://orcid.org/0000-0001-9361-0219"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqing He","raw_affiliation_strings":["Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674","https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":null,"display_name":"Famao Ye","orcid":"https://orcid.org/0000-0003-1983-7954"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Famao Ye","raw_affiliation_strings":["Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674","https://openalex.org/I211433327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210119674"],"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":0.57552917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"27177","last_page":"27192"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9733999967575073,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9733999967575073,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.014000000432133675,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.0027000000700354576,"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/robustness","display_name":"Robustness (evolution)","score":0.6671000123023987},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5404000282287598},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5199999809265137},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4268999993801117},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4066999852657318},{"id":"https://openalex.org/keywords/active-perception","display_name":"Active perception","score":0.36730000376701355},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3605000078678131},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.336899995803833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3073999881744385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8097000122070312},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6671000123023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.545199990272522},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5404000282287598},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49950000643730164},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45320001244544983},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4268999993801117},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4066999852657318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38269999623298645},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.36730000376701355},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C109441226","wikidata":"https://www.wikidata.org/wiki/Q1137255","display_name":"Servomotor","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.28360000252723694},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2533000111579895}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3623154","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3623154","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:e3729f9b9d7946d98be60bd083daeaf8","is_oa":true,"landing_page_url":"https://doaj.org/article/e3729f9b9d7946d98be60bd083daeaf8","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 27177-27192 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3623154","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3623154","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,174],"paper":[1,47],"proposes":[2,121],"MCA-SegNeXt,":[3],"an":[4,80],"improved":[5],"high-resolution":[6,185],"road":[7,31,123,188],"extraction":[8],"model":[9,110,117],"based":[10],"on":[11,141],"SegNeXt.":[12],"First,":[13],"a":[14,49,122],"Multi-Scale":[15],"Cross-Axis":[16],"Position":[17],"Attention":[18,55,84],"(MCAPA)":[19],"module":[20,59,85],"is":[21,87,139],"innovatively":[22],"designed":[23],"to":[24,38,60,74,89,127],"guide":[25],"the":[26,107,114,136,142,149,167,178],"segmentation":[27,35],"head":[28],"toward":[29],"potential":[30],"regions,":[32],"effectively":[33],"reducing":[34,170],"fragmentation.":[36],"Next,":[37],"alleviate":[39],"boundary":[40,91],"serration":[41],"in":[42,94,184],"multi":[43],"scale":[44],"fusion,":[45],"this":[46,101],"designs":[48],"Diverse":[50],"Branch":[51],"Block":[52],"and":[53,68,113,120,144,158,164,181],"Iterative":[54],"Feature":[56],"Fusion":[57],"(DBB-iAFF)":[58],"enhance":[61,90,128],"cross-scale":[62],"context":[63],"modeling":[64],"with":[65,160],"structural":[66,129],"adjustability":[67],"parameter":[69],"compression":[70],"during":[71],"inference.":[72],"Finally,":[73],"tackle":[75],"interference":[76],"from":[77],"tree":[78],"occlusions,":[79],"EMA-based":[81],"Multi":[82],"Scale":[83],"(EMA-MSCA)":[86],"introduced":[88],"recognition":[92],"robustness":[93],"complex":[95],"scenarios.":[96],"To":[97,132],"further":[98],"optimize":[99],"performance,":[100],"study":[102],"introduces":[103],"knowledge":[104],"distillation,":[105],"using":[106],"better-performing":[108],"B-level":[109],"as":[111,118],"teacher":[112],"lightweight":[115],"T-level":[116,151],"student,":[119],"edge-constrained":[124],"distillation":[125],"loss":[126],"perception":[130],"capability.":[131],"validate":[133],"its":[134],"effectiveness,":[135],"proposed":[137],"method":[138],"evaluated":[140],"DeepGlobe":[143],"CHN6-CUG":[145],"datasets,":[146],"where":[147],"even":[148],"smallest":[150],"MCA-SegNeXt":[152],"achieves":[153],"IoU":[154],"scores":[155],"of":[156,162],"70.12%":[157],"65.48%,":[159],"gains":[161],"2.74%":[163],"2.14%":[165],"over":[166],"baseline":[168],"while":[169],"parameters":[171],"by":[172],"83.15%.":[173],"significant":[175],"improvement":[176],"validates":[177],"method's":[179],"effectiveness":[180],"practical":[182],"value":[183],"remote":[186],"sensing":[187],"extraction.":[189]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-18T00:00:00"}