{"id":"https://openalex.org/W4415179886","doi":"https://doi.org/10.1109/tgrs.2025.3621480","title":"Off-Road Trafficability Assessment With Remote Sensing Imagery and Incomplete Auxiliary Data via a Cross-Modal Channel Feature Fusion Network","display_name":"Off-Road Trafficability Assessment With Remote Sensing Imagery and Incomplete Auxiliary Data via a Cross-Modal Channel Feature Fusion Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415179886","doi":"https://doi.org/10.1109/tgrs.2025.3621480"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3621480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3621480","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":"https://openalex.org/A5045264943","display_name":"\u5eb7\u5229 \u5343\u8cc0","orcid":"https://orcid.org/0000-0001-7678-6757"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang He","raw_affiliation_strings":["Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences (Wuhan), Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7678-6757","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085056163","display_name":"Yusen Dong","orcid":"https://orcid.org/0000-0002-6424-0623"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusen Dong","raw_affiliation_strings":["Key Laboratory of Geological Survey and Evaluation of Ministry of Education, the School of Computer Science, and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan, China","School of Computer Science, Key Laboratory of Geological Survey and Evaluation of the Ministry of Education, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6424-0623","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological Survey and Evaluation of Ministry of Education, the School of Computer Science, and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, Key Laboratory of Geological Survey and Evaluation of the Ministry of Education, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106406653","display_name":"Zhijun Zhang","orcid":"https://orcid.org/0009-0007-7570-6955"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Zhang","raw_affiliation_strings":["Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences (Wuhan), Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0007-7570-6955","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111324319","display_name":"Haozheng Ma","orcid":"https://orcid.org/0009-0007-0968-556X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haozheng Ma","raw_affiliation_strings":["School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan, China","School of Computer Science, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0007-0968-556X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058213496","display_name":"Runyu Fan","orcid":"https://orcid.org/0000-0002-5259-5670"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runyu Fan","raw_affiliation_strings":["School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan, China","School of Computer Science, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5259-5670","affiliations":[{"raw_affiliation_string":"School of Computer Science and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Wang","raw_affiliation_strings":["Key Laboratory of Geological Survey and Evaluation of Ministry of Education, the School of Computer Science, and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan, China","School of Computer Science, Key Laboratory of Geological Survey and Evaluation of the Ministry of Education, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2766-0845","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geological Survey and Evaluation of Ministry of Education, the School of Computer Science, and Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, Key Laboratory of Geological Survey and Evaluation of the Ministry of Education, Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27445684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9904999732971191,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/feature","display_name":"Feature (linguistics)","score":0.5835999846458435},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5419999957084656},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5164999961853027},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.43709999322891235},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.430400013923645},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.41019999980926514},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3801000118255615},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3732999861240387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001000046730042},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6093000173568726},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5835999846458435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5461999773979187},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5419999957084656},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5164999961853027},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.43709999322891235},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35420000553131104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3621480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3621480","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/G7663523707","display_name":null,"funder_award_id":"U21A2013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8441199346","display_name":null,"funder_award_id":"No.U21A2013","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2018548691","https://openalex.org/W2022210579","https://openalex.org/W2443570235","https://openalex.org/W2772066377","https://openalex.org/W2889541764","https://openalex.org/W2997203354","https://openalex.org/W3009789078","https://openalex.org/W3015871565","https://openalex.org/W3027794120","https://openalex.org/W3044591625","https://openalex.org/W3127166388","https://openalex.org/W3133524663","https://openalex.org/W3137372654","https://openalex.org/W3194841206","https://openalex.org/W3205192845","https://openalex.org/W3206517515","https://openalex.org/W4212897988","https://openalex.org/W4229058281","https://openalex.org/W4280490589","https://openalex.org/W4289752563","https://openalex.org/W4296473301","https://openalex.org/W4307812775","https://openalex.org/W4310582166","https://openalex.org/W4312705954","https://openalex.org/W4313164293","https://openalex.org/W4313824533","https://openalex.org/W4319083696","https://openalex.org/W4323896850","https://openalex.org/W4362718181","https://openalex.org/W4376649162","https://openalex.org/W4379229760","https://openalex.org/W4379984088","https://openalex.org/W4380366819","https://openalex.org/W4380763457","https://openalex.org/W4386057714","https://openalex.org/W4386108475","https://openalex.org/W4389454514","https://openalex.org/W4389542572","https://openalex.org/W4389665204","https://openalex.org/W4391123119","https://openalex.org/W4391895716","https://openalex.org/W4392694128","https://openalex.org/W4402473835","https://openalex.org/W4405489344","https://openalex.org/W4406207748","https://openalex.org/W4407925084","https://openalex.org/W4409214378"],"related_works":[],"abstract_inverted_index":{"Off-road":[0],"trafficability":[1],"(ORT)":[2],"in":[3,110,211,231],"complex":[4,111],"geological":[5,27,75,112],"environments":[6],"is":[7,19,87,208],"crucial":[8],"for":[9,36,64,222,229],"special":[10],"operations,":[11],"emergency":[12],"rescue,":[13],"and":[14,26,45,47,74,95,119,133,144,158,173,185],"natural":[15],"resource":[16],"development.":[17],"ORT":[18,37,65,223],"influenced":[20],"by":[21,154,162,181,189],"a":[22,61,79,117,226],"combination":[23],"of":[24,202,237],"geographical":[25],"environmental":[28],"factors.":[29],"Recent":[30],"studies":[31],"primarily":[32],"employ":[33],"rule":[34,167],"methods":[35],"assessment.":[38],"These":[39],"approaches":[40],"are":[41,48],"labour-intensive,":[42],"lack":[43],"timeliness":[44],"objectivity,":[46],"constrained":[49],"to":[50,101,123,166,193],"limited":[51],"data":[52,76,109,221],"sources.":[53],"To":[54,105,199],"address":[55,106],"these":[56],"issues,":[57],"this":[58,114,205,232,238],"work":[59,115,207,239],"proposes":[60,116],"new":[62,227],"method":[63],"assessment":[66],"that":[67],"combines":[68],"remote":[69],"sensing":[70],"imagery":[71],"with":[72,89,218],"geographic":[73],"(RSI-factors)":[77],"through":[78],"cross-modal":[80,103],"rectified":[81],"fusion":[82,97],"network":[83,86],"(CRFNet).":[84],"This":[85],"designed":[88],"the":[90,141,147,159,170,176,186,200,209],"feature":[91,96],"rectification":[92],"module":[93,99],"(FRM)":[94],"mixer":[98],"(FFMM)":[100],"integrate":[102],"features.":[104],"potential":[107],"missing":[108],"environments,":[113],"multi-task":[118],"prompt":[120],"learning":[121,196],"strategy":[122],"improve":[124],"model":[125,149,178],"robustness.":[126],"Experiments":[127],"conducted":[128],"on":[129],"our":[130,203],"Asia":[131,143,172],"Dataset":[132,135],"Africa":[134,145,174],"yielded":[136],"optimal":[137],"evaluation":[138],"results.":[139],"On":[140,169],"complete":[142],"Dataset,":[146,175],"CRFNet":[148,177],"improved":[150,179],"overall":[151],"accuracy":[152],"(OA)":[153],"more":[155,182],"than":[156,183],"25%":[157],"kappa":[160,187],"coefficient":[161,188],"over":[163,190],"43%":[164],"compared":[165,192],"methods.":[168],"incomplete":[171],"OA":[180],"5.5%":[184],"8%":[191],"suboptimal":[194],"deep":[195],"(DL)":[197],"models.":[198],"best":[201],"knowledge,":[204],"research":[206,230],"first":[210],"which":[212],"DL":[213],"features":[214],"have":[215],"been":[216],"combined":[217],"multi-modal":[219],"RSI-factors":[220],"assessment,":[224],"paving":[225],"path":[228],"field.":[233],"The":[234],"source":[235],"codes":[236],"will":[240],"be":[241],"made":[242],"publicly":[243],"available":[244],"at":[245],"https://github.com/kangkanghe/CRFNet.":[246]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-15T00:00:00"}