{"id":"https://openalex.org/W4402260689","doi":"https://doi.org/10.1109/igarss53475.2024.10642645","title":"Casdenet: Cascade Automatic Road Detection Network Based on Dynamic Snake Convolution and Edge Branch","display_name":"Casdenet: Cascade Automatic Road Detection Network Based on Dynamic Snake Convolution and Edge Branch","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260689","doi":"https://doi.org/10.1109/igarss53475.2024.10642645"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10642645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100966277","display_name":"Wanwan Yu","orcid":"https://orcid.org/0009-0008-6379-8650"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanwan Yu","raw_affiliation_strings":["Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100881496","display_name":"Baorong Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146919","display_name":"Shanghai Industrial Technology Institute","ror":"https://ror.org/03j1pdd39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baorong Xie","raw_affiliation_strings":["Shanghai Aerospace Electronic Technology Institute,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Electronic Technology Institute,Shanghai,China","institution_ids":["https://openalex.org/I4210146919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761789","display_name":"Dongyang Liu","orcid":"https://orcid.org/0000-0003-3342-8356"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyang Liu","raw_affiliation_strings":["Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102616705","display_name":"Caiting Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146919","display_name":"Shanghai Industrial Technology Institute","ror":"https://ror.org/03j1pdd39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiting Fang","raw_affiliation_strings":["Shanghai Aerospace Electronic Technology Institute,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Electronic Technology Institute,Shanghai,China","institution_ids":["https://openalex.org/I4210146919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696429","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-5924-3360"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9517","last_page":"9520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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":1.0,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.7836943864822388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6955701112747192},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6318470239639282},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5239337086677551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3640819787979126},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10956361889839172},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10797035694122314}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7836943864822388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6955701112747192},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6318470239639282},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5239337086677551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3640819787979126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10956361889839172},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10797035694122314},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10642645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2070724998","https://openalex.org/W2072783535","https://openalex.org/W2098180043","https://openalex.org/W2143972956","https://openalex.org/W2395611524","https://openalex.org/W2593886839","https://openalex.org/W2898504016","https://openalex.org/W2943295486","https://openalex.org/W2967073193","https://openalex.org/W3121619677","https://openalex.org/W4226178801","https://openalex.org/W4285411726","https://openalex.org/W4390873988"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986"],"abstract_inverted_index":{"Automated":[0],"road":[1,20,35,43,70,78,85,134],"detection":[2,21,86],"from":[3,69,122],"the":[4,16,28,39,42,47,56,75,97,102,114,123,130,133,140,147,165],"high-resolution":[5],"remote":[6],"sensing":[7],"images":[8],"(RSI)":[9],"is":[10,24,52,99,126],"always":[11],"a":[12,82],"hot":[13],"topic.":[14],"Particularly,":[15],"accurate":[17,155],"and":[18,30,33,65,91,154,163],"continuous":[19],"in":[22],"RSI":[23],"challenging":[25],"due":[26],"to":[27,54,112,128,158],"tree":[29],"shadow":[31],"shading":[32],"unsmooth":[34],"edges":[36],"further":[37],"hindering":[38],"accuracy":[40],"of":[41,59,77,109,117,132],"extraction.":[44],"Considering":[45],"that":[46,146],"dynamic":[48],"snake":[49],"convolution":[50],"(DSConv)":[51],"able":[53],"capture":[55,113],"distinctive":[57],"characteristics":[58],"tubular":[60],"objects":[61],"such":[62],"as":[63,101],"roads,":[64],"edge":[66,71,92,120,124],"information":[67,121],"extracted":[68],"branch":[72,93,125],"can":[73,150],"enhance":[74],"smoothness":[76,131],"edges,":[79],"we":[80],"propose":[81],"cascade":[83],"automatic":[84],"method":[87],"based":[88],"on":[89,139],"DSConv":[90,98],"named":[94],"CasDeNet.":[95],"Specifically,":[96],"introduced":[100],"foundational":[103],"module":[104],"for":[105],"low-level":[106],"feature":[107],"extraction":[108],"CasDeNet,":[110],"aiming":[111],"intricate":[115],"shapes":[116],"roads.":[118],"Road":[119],"incorporated":[127],"ensure":[129],"edges.":[135],"Experiments":[136],"are":[137],"conducted":[138],"Ottawa":[141],"dataset.":[142],"The":[143],"results":[144],"show":[145],"proposed":[148],"CasDeNet":[149],"extract":[151],"more":[152],"coherent":[153],"roads":[156],"compared":[157],"other":[159],"state-of-the-art":[160],"(SOTA)":[161],"methods":[162],"achieve":[164],"best":[166],"results.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
