{"id":"https://openalex.org/W4390978229","doi":"https://doi.org/10.1145/3630138.3630481","title":"Landscape Style Recognition Based on Deep Migration Learning","display_name":"Landscape Style Recognition Based on Deep Migration Learning","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4390978229","doi":"https://doi.org/10.1145/3630138.3630481"},"language":"en","primary_location":{"id":"doi:10.1145/3630138.3630481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3630138.3630481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Power Communication Computing and Networking Technologies","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/A5089136182","display_name":"Xinsheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116886","display_name":"Chongqing Vocational Institute of Engineering","ror":"https://ror.org/0279ehd23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116886"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xudong Li","raw_affiliation_strings":["Chongqing Vocational Institute of Engineering,, Chian"],"affiliations":[{"raw_affiliation_string":"Chongqing Vocational Institute of Engineering,, Chian","institution_ids":["https://openalex.org/I4210116886"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102785698","display_name":"Huaying Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116886","display_name":"Chongqing Vocational Institute of Engineering","ror":"https://ror.org/0279ehd23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116886"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaying Weng","raw_affiliation_strings":["Chongqing Vocational Institute of Engineering,, Chian"],"affiliations":[{"raw_affiliation_string":"Chongqing Vocational Institute of Engineering,, Chian","institution_ids":["https://openalex.org/I4210116886"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089136182"],"corresponding_institution_ids":["https://openalex.org/I4210116886"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18732355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.979200005531311,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.979200005531311,"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":0.9616000056266785,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9562000036239624,"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":0.757125973701477},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.7124817371368408},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5630783438682556},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5476565957069397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.530707061290741},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.5254026055335999},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4467323124408722},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3683910369873047},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11340463161468506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757125973701477},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.7124817371368408},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5630783438682556},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5476565957069397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.530707061290741},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.5254026055335999},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4467323124408722},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3683910369873047},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11340463161468506},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3630138.3630481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3630138.3630481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Power Communication Computing and Networking Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.8100000023841858,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1993012096","https://openalex.org/W2041727846","https://openalex.org/W3151647019","https://openalex.org/W4285243651"],"related_works":["https://openalex.org/W2081982437","https://openalex.org/W4394857231","https://openalex.org/W2027050655","https://openalex.org/W3028244590","https://openalex.org/W4254349500","https://openalex.org/W2014369232","https://openalex.org/W3122042562","https://openalex.org/W2050078012","https://openalex.org/W2060761133","https://openalex.org/W2360307734"],"abstract_inverted_index":{"The":[0],"application":[1],"scenario":[2],"of":[3,20,41,86,91],"landscape":[4],"identification":[5],"is":[6],"very":[7],"wide,":[8],"for":[9],"example,":[10],"it":[11],"can":[12],"be":[13],"applied":[14],"in":[15,78],"the":[16,37,56,76,82,92,102],"management":[17],"and":[18,26,35,46,54,70,72,84,88,94],"maintenance":[19],"urban":[21],"parks,":[22],"tourist":[23],"attractions,":[24],"campuses":[25],"other":[27,89],"places.":[28],"In":[29],"this":[30,79],"paper,":[31],"we":[32],"will":[33],"establish":[34],"load":[36],"GDTN":[38,65],"model":[39,66],"composed":[40],"progressive":[42],"chunk":[43,58],"migration":[44,59],"strategy":[45,60],"stepwise":[47],"fine-tuning":[48,62],"network":[49,63],"based":[50],"on":[51],"AM-AP":[52],"model,":[53],"get":[55],"best":[57],"with":[61],"retraining":[64],"after":[67],"conducting":[68],"experiments":[69],"analysis,":[71],"experimentally":[73],"prove":[74],"that":[75],"method":[77],"paper":[80],"achieves":[81],"recognition":[83,105],"classification":[85],"images":[87],"functions":[90],"demonstration,":[93],"propose":[95],"a":[96],"more":[97],"effective":[98],"algorithm":[99],"to":[100],"improve":[101],"garden":[103],"style":[104],"accuracy.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
