{"id":"https://openalex.org/W4406207744","doi":"https://doi.org/10.1109/lgrs.2025.3527550","title":"Learning-Based Multiview Stereo for Remote Sensed Imagery With Relative Depth","display_name":"Learning-Based Multiview Stereo for Remote Sensed Imagery With Relative Depth","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406207744","doi":"https://doi.org/10.1109/lgrs.2025.3527550"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3527550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3527550","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/lgrs.2025.3527550","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069652653","display_name":"Anzhu Yu","orcid":"https://orcid.org/0000-0002-3332-9668"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anzhu Yu","raw_affiliation_strings":["Key Laboratory of Smart Earth, Beijing, China","Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3332-9668","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Earth, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037849046","display_name":"Danyang Hong","orcid":"https://orcid.org/0000-0003-1535-6950"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyang Hong","raw_affiliation_strings":["College of Geospatial Information, Information Engineering University, Zhengzhou, China","Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1535-6950","affiliations":[{"raw_affiliation_string":"College of Geospatial Information, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113384815","display_name":"Xuanbei Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanbei Lu","raw_affiliation_strings":["College of Geospatial Information, Information Engineering University, Zhengzhou, China","Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geospatial Information, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027123416","display_name":"Song Ji","orcid":"https://orcid.org/0000-0002-3333-319X"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Ji","raw_affiliation_strings":["Key Laboratory of Smart Earth, Beijing, China","Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3333-319X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Earth, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112994936","display_name":"Junyi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Fan","raw_affiliation_strings":["College of Geospatial Information, Information Engineering University, Zhengzhou, China","Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geospatial Information, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069652653"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":1.1332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74225032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.995199978351593,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.6127976179122925},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5787141919136047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5453044176101685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5104914903640747},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35553428530693054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127976179122925},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5787141919136047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5453044176101685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5104914903640747},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35553428530693054}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3527550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3527550","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/lgrs.2025.3527550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3527550","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3605115833","display_name":null,"funder_award_id":"42101458","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7420870516","display_name":null,"funder_award_id":"41801388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G938334593","display_name":null,"funder_award_id":"42130112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2565639579","https://openalex.org/W2737722331","https://openalex.org/W2746824153","https://openalex.org/W3011949433","https://openalex.org/W3034530552","https://openalex.org/W3034564916","https://openalex.org/W3035483468","https://openalex.org/W3152935628","https://openalex.org/W3163849933","https://openalex.org/W3199621549","https://openalex.org/W4312660290","https://openalex.org/W4313555762","https://openalex.org/W4389113471","https://openalex.org/W4392297874","https://openalex.org/W4402673331","https://openalex.org/W4402727359"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,166],"depth":[1,52,88,101],"map":[2,53,89],"estimation":[3,102],"from":[4],"a":[5,13,81,109],"set":[6],"of":[7,20,27,42,63,72,140,151],"remote":[8],"sensed":[9],"images":[10],"has":[11],"been":[12],"challenging":[14],"task":[15],"due":[16],"to":[17,84,125,136,156,162],"the":[18,21,43,70,86,138,141,149,152,163],"complexity":[19],"real-world":[22],"scenes,":[23],"yet":[24],"it":[25],"is":[26],"great":[28],"importance":[29],"for":[30],"applications":[31],"such":[32],"as":[33],"3D":[34,130],"reconstruction":[35],"and":[36,103,144,159],"digital":[37],"surface":[38],"model":[39,77],"(DSM).":[40],"Most":[41],"existing":[44],"learning":[45,121],"based":[46,91,122],"multi-view":[47],"stereo":[48],"(MVS)":[49],"approaches":[50],"reconstruct":[51],"through":[54],"supervised":[55],"models":[56],"that":[57,113,148],"are":[58,134,168],"trained":[59],"with":[60,117],"large":[61],"amounts":[62],"data":[64],"without":[65],"any":[66],"prior":[67],"knowledge":[68],"about":[69],"areas":[71],"interest.":[73],"A":[74],"recent":[75],"foundational":[76],"Depth":[78],"Anything,":[79],"provides":[80],"robust":[82],"method":[83],"estimate":[85],"relative":[87],"(RDM)":[90],"on":[92],"single":[93],"optical":[94],"image.":[95],"Leveraging":[96],"its":[97],"excellent":[98],"performance":[99,128],"in":[100,129],"fine":[104],"generalization":[105],"capability,":[106],"we":[107],"propose":[108],"RDM":[110],"fusion":[111],"module":[112,143,154],"can":[114],"be":[115],"integrated":[116],"most":[118],"state-of-the-art":[119],"(SOTA)":[120],"MVS":[123],"frameworks":[124],"improve":[126],"their":[127],"reconstruction.":[131],"Extensive":[132],"experiments":[133],"conducted":[135],"verify":[137],"effectiveness":[139],"proposed":[142,153],"positive":[145],"results":[146],"indicate":[147],"integration":[150],"leads":[155],"better":[157],"accuracy":[158],"completeness":[160],"compared":[161],"benchmark":[164],"models.":[165],"codes":[167],"available":[169],"at":[170],"https://github.com/2022hong/RDM-MVS/tree/main.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
