{"id":"https://openalex.org/W4402811259","doi":"https://doi.org/10.1109/jstars.2024.3457616","title":"Surface Depth Estimation From Multiview Stereo Satellite Images With Distribution Contrast Network","display_name":"Surface Depth Estimation From Multiview Stereo Satellite Images With Distribution Contrast Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402811259","doi":"https://doi.org/10.1109/jstars.2024.3457616"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3457616","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3457616","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3457616","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036666786","display_name":"Ziyang Chen","orcid":"https://orcid.org/0000-0002-9361-0240"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyang Chen","raw_affiliation_strings":["College of Computer Science, the State Key Laboratory of Public Big Data, Institute of Artificial Intelligence, Remote Sensing Satellite Image Big Data Innovation Center of Guizhou Province, Guizhou University, Guiyang, China","College of Computer Science, the State Key Laboratory of Public Big Data, Institute of Artificial Intelligence, Guizhou University. Remote Sensing Satellite Image Big Data Innovation Center of Guizhou Province, China"],"raw_orcid":"https://orcid.org/0000-0002-9361-0240","affiliations":[{"raw_affiliation_string":"College of Computer Science, the State Key Laboratory of Public Big Data, Institute of Artificial Intelligence, Remote Sensing Satellite Image Big Data Innovation Center of Guizhou Province, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"College of Computer Science, the State Key Laboratory of Public Big Data, Institute of Artificial Intelligence, Guizhou University. Remote Sensing Satellite Image Big Data Innovation Center of Guizhou Province, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenting Li","orcid":"https://orcid.org/0009-0009-8081-842X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenting Li","raw_affiliation_strings":["School of Information Engineering, Guizhou University of Commerce, Guizhou, China","School of Information Engineering, Guizhou University of Commerce, China"],"raw_orcid":"https://orcid.org/0009-0009-8081-842X","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guizhou University of Commerce, Guizhou, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"School of Information Engineering, Guizhou University of Commerce, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073482873","display_name":"Zhongwei Cui","orcid":"https://orcid.org/0000-0001-9549-7440"},"institutions":[{"id":"https://openalex.org/I4210087731","display_name":"Guizhou Education University","ror":"https://ror.org/002x6f380","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210087731"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Cui","raw_affiliation_strings":["School of Mathematics and Big Data, Guizhou Education University, Guizhou, China","School of Mathematics and Big Data, Guizhou Education University, China"],"raw_orcid":"https://orcid.org/0000-0001-9549-7440","affiliations":[{"raw_affiliation_string":"School of Mathematics and Big Data, Guizhou Education University, Guizhou, China","institution_ids":["https://openalex.org/I4210087731"]},{"raw_affiliation_string":"School of Mathematics and Big Data, Guizhou Education University, China","institution_ids":["https://openalex.org/I4210087731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325607","display_name":"Yongjun Zhang","orcid":"https://orcid.org/0000-0002-7534-1219"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Zhang","raw_affiliation_strings":["College of Computer Science, the State Key Laboratory of Public Big Data, Institute of Artificial Intelligence, Remote Sensing Satellite Image Big Data Innovation Center of Guizhou Province, Guizhou University, Guiyang, China","College of Computer Science, the State Key Laboratory of Public Big Data, Institute of Artificial Intelligence, Guizhou University. Remote Sensing Satellite Image Big Data Innovation Center of Guizhou Province, China"],"raw_orcid":"https://orcid.org/0000-0002-7534-1219","affiliations":[{"raw_affiliation_string":"College of Computer Science, the State Key Laboratory of Public Big Data, Institute of Artificial Intelligence, Remote Sensing Satellite Image Big Data Innovation Center of Guizhou Province, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"College of Computer Science, the State Key Laboratory of Public Big Data, Institute of Artificial Intelligence, Guizhou University. Remote Sensing Satellite Image Big Data Innovation Center of Guizhou Province, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036666786"],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.5217,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88472256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"17837","last_page":"17845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9948999881744385,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9819999933242798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139445304870605},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6112945079803467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5737756490707397},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5464091300964355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5417824387550354},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3934444189071655},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.29230207204818726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139445304870605},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6112945079803467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5737756490707397},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5464091300964355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5417824387550354},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3934444189071655},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.29230207204818726},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3457616","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3457616","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fec9e12b1958440cbfbc3e073a65577d","is_oa":true,"landing_page_url":"https://doaj.org/article/fec9e12b1958440cbfbc3e073a65577d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17837-17845 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3457616","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3457616","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G903548224","display_name":null,"funder_award_id":"[2023]159","funder_id":"https://openalex.org/F4320322272","funder_display_name":"Guizhou Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320322272","display_name":"Guizhou Science and Technology Department","ror":"https://ror.org/00kwnh405"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2088127691","https://openalex.org/W2088474560","https://openalex.org/W2147800946","https://openalex.org/W2165114467","https://openalex.org/W2338968644","https://openalex.org/W2565639579","https://openalex.org/W2926429807","https://openalex.org/W2962793285","https://openalex.org/W2992718396","https://openalex.org/W3011949433","https://openalex.org/W3021138038","https://openalex.org/W3034530552","https://openalex.org/W3034564916","https://openalex.org/W3034643157","https://openalex.org/W3035483468","https://openalex.org/W3094502228","https://openalex.org/W3138516171","https://openalex.org/W3160694286","https://openalex.org/W3190492058","https://openalex.org/W3199621549","https://openalex.org/W4225672218","https://openalex.org/W4245685703","https://openalex.org/W4306157941","https://openalex.org/W4312259458","https://openalex.org/W4312365264","https://openalex.org/W4312881201","https://openalex.org/W4313398591","https://openalex.org/W4382449835","https://openalex.org/W4386066351","https://openalex.org/W4386071550","https://openalex.org/W4386076209","https://openalex.org/W4394879605","https://openalex.org/W4399268501","https://openalex.org/W4400117429","https://openalex.org/W4402727617","https://openalex.org/W6637373629","https://openalex.org/W6795308139"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":[0,25],"calculation":[1],"of":[2,15,48,60,136,201],"surface":[3,83],"depth":[4,29,84,160,165],"based":[5,153],"on":[6,154,192,209],"multiview":[7],"<bold":[8,107],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[9,105,108],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">s</b>tereo":[10],"(MVS)":[11],"satellite":[12,32,114],"imagery":[13,33],"is":[14,67],"significant":[16],"importance":[17,135],"in":[18,27,35,81,183,221],"fields":[19],"such":[20],"as":[21,224],"military":[22],"and":[23,54,122,129,138,161,206,217],"surveying.":[24],"challenge":[26],"extracting":[28],"information":[30],"from":[31,102],"lies":[34],"the":[36,46,58,89,94,134,142,150,155,158,162,190,193,198,210],"fact":[37],"that":[38,50,170],"these":[39],"images":[40],"often":[41],"exhibit":[42],"similar":[43],"colors,":[44],"necessitating":[45],"development":[47],"algorithms":[49],"can":[51],"integrate":[52],"shape":[53,137],"texture":[55],"information.":[56],"Moreover,":[57],"application":[59],"classical":[61],"convolutional":[62],"neural":[63],"network":[64],"(CNN)":[65],"MVS":[66,115,215],"limited":[68],"by":[69],"its":[70],"inability":[71],"to":[72,119,189],"capture":[73],"long-range":[74,123],"terrain":[75],"relationships,":[76],"which":[77],"presents":[78],"a":[79,112,179,213],"bottleneck":[80],"existing":[82],"estimation":[85],"algorithms.":[86],"To":[87,132,196],"address":[88],"above":[90],"problems,":[91],"we":[92,125,140,204],"propose":[93,141],"Distribution":[95,143],"Contrast":[96,144],"Network":[97],"for":[98],"Surface":[99],"Depth":[100],"Estimation":[101],"Satellite":[103],"Multi<bold":[104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">V</b>iew":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">S</b>tereo":[109],"Images":[110],"(DC-SatMVS),":[111],"novel":[113],"network.":[116],"In":[117],"order":[118],"learn":[120],"short-range":[121],"features,":[124],"designed":[126],"separate":[127],"CNN":[128],"ViT":[130],"branches.":[131],"emphasize":[133],"texture,":[139],"Loss":[145],"mechanism.":[146],"This":[147],"mechanism":[148],"supervises":[149],"model":[151],"training":[152],"similarity":[156],"between":[157],"predicted":[159],"ground":[163],"truth":[164],"distribution.":[166],"Experimental":[167],"results":[168,220],"demonstrate":[169],"our":[171,202],"method":[172],"achieves":[173],"state-of-the-art":[174],"(SOTA)":[175],"performance.":[176],"We":[177],"produce":[178],"remarkable":[180],"18.14%":[181],"reduction":[182],"root":[184],"mean":[185],"square":[186],"error":[187],"compared":[188],"Sat-MVSF":[191],"WHU-TLC":[194],"dataset.":[195],"validate":[197],"generalization":[199],"performance":[200],"framework,":[203],"trained":[205],"tested":[207],"it":[208],"DTU":[211],"dataset,":[212,216],"common":[214],"achieve":[218],"SOTA":[219],"this":[222],"dataset":[223],"well.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
