{"id":"https://openalex.org/W4405601801","doi":"https://doi.org/10.1109/ivcnz64857.2024.10794464","title":"Deep Learning-Based Depth Map Generation and YOLO-Integrated Distance Estimation for Radiata Pine Branch Detection Using Drone Stereo Vision","display_name":"Deep Learning-Based Depth Map Generation and YOLO-Integrated Distance Estimation for Radiata Pine Branch Detection Using Drone Stereo Vision","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405601801","doi":"https://doi.org/10.1109/ivcnz64857.2024.10794464"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz64857.2024.10794464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz64857.2024.10794464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5111361908","display_name":"Yida Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Yida Lin","raw_affiliation_strings":["Victoria University of Wellington,Centre for Data Science and Artificial Intelligence,Wellington,New Zealand"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Centre for Data Science and Artificial Intelligence,Wellington,New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080779869","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-7790-1216"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["Victoria University of Wellington,Centre for Data Science and Artificial Intelligence,Wellington,New Zealand"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Centre for Data Science and Artificial Intelligence,Wellington,New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027830774","display_name":"Mengjie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Victoria University of Wellington,Centre for Data Science and Artificial Intelligence,Wellington,New Zealand"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Centre for Data Science and Artificial Intelligence,Wellington,New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084126836","display_name":"Sam Schofield","orcid":"https://orcid.org/0000-0002-0982-4239"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Sam Schofield","raw_affiliation_strings":["Canterbury University,Department of Computer Science and Software Engineering,Canterbury,New Zealand"],"affiliations":[{"raw_affiliation_string":"Canterbury University,Department of Computer Science and Software Engineering,Canterbury,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100730174","display_name":"Richard Green","orcid":"https://orcid.org/0000-0002-6810-7758"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Richard Green","raw_affiliation_strings":["Canterbury University,Department of Computer Science and Software Engineering,Canterbury,New Zealand"],"affiliations":[{"raw_affiliation_string":"Canterbury University,Department of Computer Science and Software Engineering,Canterbury,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111361908"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.2173,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5291154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9977999925613403,"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":0.9977999925613403,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T11796","display_name":"Horticultural and Viticultural Research","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.8626701235771179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7622239589691162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6786535978317261},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.642633318901062},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.581362247467041},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.516298234462738},{"id":"https://openalex.org/keywords/radiata","display_name":"Radiata","score":0.4245133399963379}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8626701235771179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7622239589691162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786535978317261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.642633318901062},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.581362247467041},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.516298234462738},{"id":"https://openalex.org/C2778357721","wikidata":"https://www.wikidata.org/wiki/Q719268","display_name":"Radiata","level":3,"score":0.4245133399963379},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2779862049","wikidata":"https://www.wikidata.org/wiki/Q132634","display_name":"Vigna","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz64857.2024.10794464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz64857.2024.10794464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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":18,"referenced_works":["https://openalex.org/W1994685695","https://openalex.org/W2025622877","https://openalex.org/W2117248802","https://openalex.org/W2119883478","https://openalex.org/W2141109916","https://openalex.org/W2150066425","https://openalex.org/W2150298547","https://openalex.org/W2259424905","https://openalex.org/W2963150697","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W3033193681","https://openalex.org/W3195680177","https://openalex.org/W4226265017","https://openalex.org/W4312388571","https://openalex.org/W4386076249","https://openalex.org/W4402727359","https://openalex.org/W4403770406"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W2390004782","https://openalex.org/W2114267838","https://openalex.org/W2356962014","https://openalex.org/W2031620013","https://openalex.org/W125675508","https://openalex.org/W1536406305","https://openalex.org/W2389564093","https://openalex.org/W2391245565"],"abstract_inverted_index":{"This":[0,91],"research":[1],"focuses":[2],"on":[3],"the":[4,27,66,82,89,125],"development":[5],"of":[6,30,68,127],"a":[7,14,18,71],"deep":[8,55,75,128],"learning":[9,56,129],"based":[10],"method":[11],"to":[12,22,51,80,120,130],"enable":[13],"drone":[15],"equipped":[16],"with":[17,74],"stereo":[19],"vision":[20],"camera":[21],"accurately":[23],"detect":[24],"and":[25,45,61,97],"measure":[26],"spatial":[28],"positions":[29],"tree":[31],"branches.":[32],"YOLO":[33],"is":[34,78,118],"employed":[35],"for":[36],"branch":[37,95],"segmentation,":[38],"while":[39],"two":[40],"depth":[41,63,83],"estimation":[42],"approaches,":[43],"monocular":[44],"stereo,":[46],"are":[47],"investigated.":[48],"In":[49,65],"comparison":[50],"Semi-Global":[52],"Block":[53],"Matching(SGBM),":[54],"techniques":[57],"produce":[58],"more":[59],"refined":[60],"accurate":[62,94],"maps.":[64],"absence":[67],"ground-truth":[69],"data,":[70],"fine-tuning":[72],"process":[73],"neural":[76],"networks":[77],"applied":[79],"generate":[81],"map":[84],"that":[85],"most":[86],"closely":[87],"approximates":[88],"ground-truth.":[90],"methodology":[92],"achieves":[93],"detection":[96],"precise":[98],"distance":[99],"measurement,":[100],"addressing":[101],"key":[102],"challenges":[103],"in":[104,113,133],"automating":[105],"pruning":[106],"operations.":[107],"The":[108],"results":[109],"indicate":[110],"substantial":[111],"improvements":[112],"accuracy,":[114],"though":[115],"further":[116],"optimization":[117],"required":[119],"enhance":[121],"processing":[122],"speed,":[123],"demonstrating":[124],"potential":[126],"advance":[131],"automation":[132],"agricultural":[134],"systems.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}