{"id":"https://openalex.org/W4400908929","doi":"https://doi.org/10.1109/siu61531.2024.10601134","title":"A Swin Transformer, YOLO, and Weighted Boxes Fusion-Based Approach for Tree Detection in Satellite Images","display_name":"A Swin Transformer, YOLO, and Weighted Boxes Fusion-Based Approach for Tree Detection in Satellite Images","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908929","doi":"https://doi.org/10.1109/siu61531.2024.10601134"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10601134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10601134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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/A5104971390","display_name":"Ozan Durgut","orcid":"https://orcid.org/0009-0003-1068-9462"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ozan Durgut","raw_affiliation_strings":["Elektrik Elektronik Mühendisliği Marmara Úniversitesi"],"affiliations":[{"raw_affiliation_string":"Elektrik Elektronik Mühendisliği Marmara Úniversitesi","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076303551","display_name":"Cem \u00dcnsalan","orcid":"https://orcid.org/0000-0002-8904-3730"},"institutions":[{"id":"https://openalex.org/I100072489","display_name":"Yeditepe University","ror":"https://ror.org/025mx2575","country_code":"TR","type":"education","lineage":["https://openalex.org/I100072489"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cem \u00dcnsalan","raw_affiliation_strings":["Elektrik Elektronik Mühendisliği Yeditepe Universitesi"],"affiliations":[{"raw_affiliation_string":"Elektrik Elektronik Mühendisliği Yeditepe Universitesi","institution_ids":["https://openalex.org/I100072489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104971390"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6531,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64462956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9969000220298767,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9824000000953674,"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"}},{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.974399983882904,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5996593832969666},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5869948267936707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5582669973373413},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5535373091697693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5201326012611389},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4699910879135132},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.43491244316101074},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4225432872772217},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3882283568382263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1749797761440277},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14809858798980713},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13062509894371033},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.06527507305145264}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996593832969666},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5869948267936707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5582669973373413},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5535373091697693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5201326012611389},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4699910879135132},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.43491244316101074},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4225432872772217},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3882283568382263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1749797761440277},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14809858798980713},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13062509894371033},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.06527507305145264},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10601134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10601134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2967030268","https://openalex.org/W2185253430","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Forests":[0],"are":[1,22,55,77,123],"terrestrial":[2],"ecosystems":[3],"that":[4,30],"provide":[5],"ecological":[6],"balance":[7],"and":[8,17,36,47,62,98,176],"environmental":[9],"benefits.":[10],"Due":[11],"to":[12,33,44,68,71,94,110],"uncontrolled":[13],"logging,":[14],"increasing":[15],"population,":[16],"commercial":[18],"use,":[19],"forest":[20,73],"reserves":[21],"rapidly":[23],"decreasing":[24],"worldwide.":[25],"This":[26,91],"situation":[27],"carries":[28],"risks":[29],"will":[31],"lead":[32],"climate":[34],"crisis":[35],"biodiversity":[37],"loss.":[38],"For":[39],"this":[40,162],"reason,":[41],"trees":[42,168],"need":[43],"be":[45],"protected":[46],"kept":[48],"under":[49],"control.":[50],"Since":[51],"human-powered":[52],"control":[53],"efforts":[54],"insufficient,":[56],"the":[57,69,120,126,132,139,147,150,153,164],"use":[58],"of":[59,119,131,146,155],"satellite":[60,84],"images":[61,85],"artificial":[63],"intelligence-based":[64],"systems":[65],"has":[66],"come":[67],"fore":[70],"prevent":[72],"destruction.":[74],"Nowadays,":[75],"there":[76],"studies":[78],"on":[79],"tree":[80,159],"detection":[81,113,117,129,144],"applications":[82],"from":[83],"using":[86],"different":[87],"deep":[88],"learning":[89],"models.":[90],"article":[92],"aims":[93],"combine":[95,152],"Swin":[96,133,174],"transformers":[97,134,175],"YOLO":[99,148],"models":[100,122,157],"with":[101,138,169],"a":[102],"post-processing":[103],"technique":[104],"known":[105],"as":[106],"weighted":[107],"boxes":[108],"fusion":[109],"enhance":[111],"object":[112,116],"capabilities.":[114],"The":[115],"approaches":[118],"two":[121],"different.":[124],"When":[125],"wide":[127],"variation":[128,141],"ability":[130,145],"method":[135,166],"is":[136],"combined":[137],"low":[140],"but":[142],"sharp":[143],"model,":[149],"results":[151],"advantages":[154],"both":[156],"in":[158],"detection.":[160],"In":[161],"way,":[163],"proposed":[165],"detected":[167],"%3.7":[170],"higher":[171,178],"precision":[172,179],"than":[173,180],"%13.1":[177],"YOLO.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}