{"id":"https://openalex.org/W4399418928","doi":"https://doi.org/10.1145/3651671.3651770","title":"Bad Weather Condition Shadow detection of Docking Aircraft Algorithm","display_name":"Bad Weather Condition Shadow detection of Docking Aircraft Algorithm","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418928","doi":"https://doi.org/10.1145/3651671.3651770"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651770","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-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/A5030016801","display_name":"Y. Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141264","display_name":"Shanghai Civil Aviation College","ror":"https://ror.org/03kkh3m26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141264"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Yan Guo","raw_affiliation_strings":["Aircraft Maintenance Engineering College, Guangzhou Civil Aviation College, China"],"raw_orcid":"https://orcid.org/0009-0004-2588-2414","affiliations":[{"raw_affiliation_string":"Aircraft Maintenance Engineering College, Guangzhou Civil Aviation College, China","institution_ids":["https://openalex.org/I4210141264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041235131","display_name":"G. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141264","display_name":"Shanghai Civil Aviation College","ror":"https://ror.org/03kkh3m26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zhi Liu","raw_affiliation_strings":["Aircraft Maintenance Engineering College, Guangzhou Civil Aviation College, China"],"raw_orcid":"https://orcid.org/0009-0000-7714-4764","affiliations":[{"raw_affiliation_string":"Aircraft Maintenance Engineering College, Guangzhou Civil Aviation College, China","institution_ids":["https://openalex.org/I4210141264"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jun Yan Lu","orcid":"https://orcid.org/0009-0005-3763-4052"},"institutions":[{"id":"https://openalex.org/I4210141264","display_name":"Shanghai Civil Aviation College","ror":"https://ror.org/03kkh3m26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yan Lu","raw_affiliation_strings":["Aircraft Maintenance Engineering College, Guangzhou Civil Aviation College, China"],"raw_orcid":"https://orcid.org/0009-0005-3763-4052","affiliations":[{"raw_affiliation_string":"Aircraft Maintenance Engineering College, Guangzhou Civil Aviation College, China","institution_ids":["https://openalex.org/I4210141264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030016801"],"corresponding_institution_ids":["https://openalex.org/I4210141264"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05560324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9642999768257141,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9635999798774719,"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/robustness","display_name":"Robustness (evolution)","score":0.7505104541778564},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6830568313598633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6704801321029663},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6135608553886414},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.566523551940918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5645943880081177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5059558749198914},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20356667041778564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12400773167610168}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7505104541778564},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6830568313598633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6704801321029663},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6135608553886414},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.566523551940918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5645943880081177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5059558749198914},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20356667041778564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12400773167610168},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651671.3651770","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1968564246","https://openalex.org/W3160170386","https://openalex.org/W4256311991","https://openalex.org/W4294162760","https://openalex.org/W4323341772"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2893218741","https://openalex.org/W4392589133","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W1842742976","https://openalex.org/W2803235238","https://openalex.org/W3112085556","https://openalex.org/W399661440"],"abstract_inverted_index":{"The":[0,35,56],"algorithm":[1,57,90],"of":[2,12,62,88],"shadow":[3],"detection":[4],"is":[5],"mainly":[6],"applied":[7,23],"based":[8],"on":[9],"the":[10,15,60,63,67,73,82,89],"characteristics":[11],"aircraft":[13],"in":[14,45],"docking":[16],"guidance":[17],"system,":[18],"and":[19,30,39,53,71,85],"has":[20,31,72],"also":[21],"been":[22,92],"to":[24,50,75],"other":[25],"aspects":[26],"such":[27],"as":[28],"transportation":[29],"achieved":[32],"good":[33],"results.":[34],"adaptive":[36],"weighted":[37],"morphology":[38],"boundary-less":[40],"active":[41],"contour":[42,61],"model":[43],"proposed":[44],"this":[46],"article":[47],"are":[48],"combined":[49],"segment":[51],"shadows":[52],"remove":[54],"them.":[55],"effectively":[58],"detects":[59],"target":[64,69],"edge,":[65,70],"extracts":[66],"interested":[68],"ability":[74],"suppress":[76],"noise":[77],"images.":[78],"Through":[79],"simulation":[80],"experiments,":[81],"effectiveness,":[83],"robustness,":[84],"real-time":[86],"performance":[87],"have":[91],"proven.":[93]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}