{"id":"https://openalex.org/W3010863083","doi":"https://doi.org/10.3390/rs12050870","title":"A Novel Stereo Matching Algorithm for Digital Surface Model (DSM) Generation in Water Areas","display_name":"A Novel Stereo Matching Algorithm for Digital Surface Model (DSM) Generation in Water Areas","publication_year":2020,"publication_date":"2020-03-08","ids":{"openalex":"https://openalex.org/W3010863083","doi":"https://doi.org/10.3390/rs12050870","mag":"3010863083"},"language":"en","primary_location":{"id":"doi:10.3390/rs12050870","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050870","pdf_url":"https://www.mdpi.com/2072-4292/12/5/870/pdf?version=1584026595","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/5/870/pdf?version=1584026595","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077719978","display_name":"Wenhuan Yang","orcid":"https://orcid.org/0000-0002-8750-8899"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhuan Yang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0002-8750-8899","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354056","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2999-9818"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014822993","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0003-0805-7928"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Yang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007636779","display_name":"Yu Fu","orcid":"https://orcid.org/0000-0003-4972-0626"},"institutions":[{"id":"https://openalex.org/I4210157899","display_name":"China State Shipbuilding (China)","ror":"https://ror.org/04rveb346","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210157899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Fu","raw_affiliation_strings":["Systems Engineering Research Institute of China State Shipbuilding Corporation, Beijing 100036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Engineering Research Institute of China State Shipbuilding Corporation, Beijing 100036, China","institution_ids":["https://openalex.org/I4210157899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014822993"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.2359,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.75886801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"12","issue":"5","first_page":"870","last_page":"870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991999864578247,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9991000294685364,"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":0.7270719408988953},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.685307502746582},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6778402328491211},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6724416017532349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6283666491508484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6205018758773804},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.45066866278648376},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.4170815944671631},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.41192105412483215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4045713245868683},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33854466676712036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2354303002357483},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.11456170678138733},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0748133659362793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270719408988953},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.685307502746582},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6778402328491211},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6724416017532349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6283666491508484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6205018758773804},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.45066866278648376},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.4170815944671631},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.41192105412483215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4045713245868683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33854466676712036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2354303002357483},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.11456170678138733},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0748133659362793},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12050870","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050870","pdf_url":"https://www.mdpi.com/2072-4292/12/5/870/pdf?version=1584026595","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0ed9711234e44e8f9992d2a9ce1d4508","is_oa":true,"landing_page_url":"https://doaj.org/article/0ed9711234e44e8f9992d2a9ce1d4508","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":"Remote Sensing, Vol 12, Iss 5, p 870 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/5/870/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12050870","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12050870","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12050870","pdf_url":"https://www.mdpi.com/2072-4292/12/5/870/pdf?version=1584026595","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.75}],"awards":[{"id":"https://openalex.org/G2726954982","display_name":"\u65e0\u5730\u9762\u63a7\u5236\u5927\u89c4\u6a21\u536b\u661f\u5f71\u50cf\u533a\u57df\u7f51\u5e73\u5dee\u5173\u952e\u95ee\u9898\u7814\u7a76","funder_award_id":"41971419","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010863083.pdf","grobid_xml":"https://content.openalex.org/works/W3010863083.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W744248063","https://openalex.org/W1528144695","https://openalex.org/W1677409904","https://openalex.org/W1983553998","https://openalex.org/W1990128059","https://openalex.org/W1990590197","https://openalex.org/W2011123956","https://openalex.org/W2020795785","https://openalex.org/W2044157970","https://openalex.org/W2054536235","https://openalex.org/W2057603334","https://openalex.org/W2064893714","https://openalex.org/W2071564596","https://openalex.org/W2084744129","https://openalex.org/W2085261163","https://openalex.org/W2095200708","https://openalex.org/W2104974755","https://openalex.org/W2107350444","https://openalex.org/W2114080327","https://openalex.org/W2117248802","https://openalex.org/W2129404737","https://openalex.org/W2138089824","https://openalex.org/W2142792228","https://openalex.org/W2151103935","https://openalex.org/W2170803817","https://openalex.org/W2276007489","https://openalex.org/W2346379194","https://openalex.org/W2359577247","https://openalex.org/W2547806525","https://openalex.org/W2560167313","https://openalex.org/W2594510078","https://openalex.org/W2778840128","https://openalex.org/W2807580924","https://openalex.org/W2849998126","https://openalex.org/W2920254659","https://openalex.org/W2971085774","https://openalex.org/W6637400245","https://openalex.org/W6694242519","https://openalex.org/W6751949361"],"related_works":["https://openalex.org/W1536158975","https://openalex.org/W2393788985","https://openalex.org/W2157670837","https://openalex.org/W4377836769","https://openalex.org/W2374120702","https://openalex.org/W2631594184","https://openalex.org/W2072849536","https://openalex.org/W1983607852","https://openalex.org/W1531686125","https://openalex.org/W2012745761"],"abstract_inverted_index":{"Image":[0],"dense":[1,43],"matching":[2,44,50,83,108,123,142,149],"has":[3,219],"become":[4],"one":[5],"of":[6,63,80,82,125,161,177,179],"the":[7,28,54,78,129,159,174,183,189,207],"widely":[8],"used":[9,90],"means":[10],"for":[11,25,75,192],"DSM":[12,101,211],"generation":[13,102],"due":[14,52],"to":[15,40,53,110,153],"its":[16],"good":[17],"performance":[18],"in":[19,117,216],"both":[20],"accuracy":[21,221],"and":[22,88,106,114,138,206,222],"efficiency.":[23],"However,":[24],"water":[26,118,130,167,217],"areas,":[27],"most":[29],"common":[30],"ground":[31],"object,":[32],"accurate":[33,112,155],"disparity":[34,113,156,160],"estimation":[35,116],"is":[36,66,77,151,169,186],"always":[37,67],"a":[38,60,99],"challenge":[39],"excellent":[41],"image":[42],"methods,":[45],"as":[46,188],"represented":[47],"by":[48,91,120,134,171,213],"semi-global":[49,105],"(SGM),":[51],"poor":[55],"texture.":[56],"For":[57],"this":[58,76,95,193],"reason,":[59],"great":[61],"deal":[62],"manual":[64],"editing":[65],"inevitable":[68],"before":[69],"practical":[70],"applications.":[71],"The":[72],"main":[73],"reason":[74],"lack":[79],"uniqueness":[81],"primitives,":[84],"with":[85],"fixed":[86],"size":[87],"shape,":[89],"those":[92],"methods.":[93],"In":[94],"paper,":[96],"we":[97],"propose":[98],"novel":[100],"method,":[103],"namely":[104],"block":[107,122,141,185,194],"(SGBM),":[109],"achieve":[111,154],"height":[115,178,191],"areas":[119,218],"adaptive":[121,140],"instead":[124],"pixel":[126],"matching.":[127],"First,":[128],"blocks":[131,168],"are":[132,199],"extracted":[133],"seed":[135],"point":[136],"growth,":[137],"an":[139],"strategy":[143],"considering":[144],"geometrical":[145],"deformations,":[146],"called":[147],"end-block":[148],"(EBM),":[150],"adopted":[152],"estimation.":[157],"Then,":[158],"all":[162,180],"other":[163],"pixels":[164,181],"beyond":[165],"these":[166],"obtained":[170],"SGM.":[172],"Last,":[173],"median":[175],"value":[176],"within":[182],"same":[184],"selected":[187],"final":[190],"after":[195],"forward":[196],"intersection.":[197],"Experiments":[198],"conducted":[200],"on":[201],"ZiYuan-3":[202],"(ZY-3)":[203],"stereo":[204],"images,":[205],"results":[208],"show":[209],"that":[210],"generated":[212],"our":[214],"method":[215],"high":[220],"visual":[223],"quality.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}