{"id":"https://openalex.org/W3161305359","doi":"https://doi.org/10.3390/rs13101903","title":"A Disparity Refinement Algorithm for Satellite Remote Sensing Images Based on Mean-Shift Plane Segmentation","display_name":"A Disparity Refinement Algorithm for Satellite Remote Sensing Images Based on Mean-Shift Plane Segmentation","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161305359","doi":"https://doi.org/10.3390/rs13101903","mag":"3161305359"},"language":"en","primary_location":{"id":"doi:10.3390/rs13101903","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13101903","pdf_url":"https://www.mdpi.com/2072-4292/13/10/1903/pdf?version=1620958574","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/2072-4292/13/10/1903/pdf?version=1620958574","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085651839","display_name":"Zhihui Li","orcid":"https://orcid.org/0000-0001-6027-8635"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihui Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383762","display_name":"Jiaxin Liu","orcid":"https://orcid.org/0000-0002-6286-9276"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397752","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0003-1778-0042"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020307028","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-7530-1121"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan 250022, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan 250022, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085651839"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.1732,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47952984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"13","issue":"10","first_page":"1903","last_page":"1903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9995999932289124,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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/segmentation","display_name":"Segmentation","score":0.6960580348968506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6890631318092346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.649882435798645},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5998138785362244},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5582801699638367},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5526868104934692},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.5508619546890259},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.486200749874115},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.426588237285614},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38768017292022705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3348017930984497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22440168261528015},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1144886314868927}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6960580348968506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6890631318092346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.649882435798645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5998138785362244},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5582801699638367},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5526868104934692},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.5508619546890259},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.486200749874115},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.426588237285614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38768017292022705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3348017930984497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22440168261528015},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1144886314868927},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13101903","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13101903","pdf_url":"https://www.mdpi.com/2072-4292/13/10/1903/pdf?version=1620958574","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:383571edcd3b46d2b3dfd6c938c21751","is_oa":true,"landing_page_url":"https://doaj.org/article/383571edcd3b46d2b3dfd6c938c21751","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 13, Iss 10, p 1903 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/10/1903/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13101903","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; Volume 13; Issue 10; Pages: 1903","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13101903","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13101903","pdf_url":"https://www.mdpi.com/2072-4292/13/10/1903/pdf?version=1620958574","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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2500937128","display_name":null,"funder_award_id":"2020-2022","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6248069569","display_name":null,"funder_award_id":"2020-2022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6784270870","display_name":null,"funder_award_id":"51679058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8414784883","display_name":null,"funder_award_id":"2020-20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3161305359.pdf","grobid_xml":"https://content.openalex.org/works/W3161305359.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W286605963","https://openalex.org/W1912649600","https://openalex.org/W1971410590","https://openalex.org/W1996126470","https://openalex.org/W2004985258","https://openalex.org/W2024276620","https://openalex.org/W2041642242","https://openalex.org/W2051956109","https://openalex.org/W2062111756","https://openalex.org/W2069195655","https://openalex.org/W2085261163","https://openalex.org/W2088127691","https://openalex.org/W2092449173","https://openalex.org/W2105404016","https://openalex.org/W2108402667","https://openalex.org/W2115878665","https://openalex.org/W2117248802","https://openalex.org/W2135431554","https://openalex.org/W2138089824","https://openalex.org/W2141128914","https://openalex.org/W2165114467","https://openalex.org/W2165949176","https://openalex.org/W2170921316","https://openalex.org/W2257320143","https://openalex.org/W2330339889","https://openalex.org/W2464913660","https://openalex.org/W2509732761","https://openalex.org/W2532116619","https://openalex.org/W2566705929","https://openalex.org/W2579841792","https://openalex.org/W2587679776","https://openalex.org/W2610967268","https://openalex.org/W2749220223","https://openalex.org/W2782525812","https://openalex.org/W2791756395","https://openalex.org/W2792376557","https://openalex.org/W2796231827","https://openalex.org/W2888945633","https://openalex.org/W2900180780","https://openalex.org/W2906431877","https://openalex.org/W2913040965","https://openalex.org/W2920991384","https://openalex.org/W2922314100","https://openalex.org/W2964116251","https://openalex.org/W3046983658","https://openalex.org/W3084253478","https://openalex.org/W3096070732","https://openalex.org/W3129823936","https://openalex.org/W4251277831","https://openalex.org/W6677455522","https://openalex.org/W6719584072","https://openalex.org/W6725281773","https://openalex.org/W6781706595","https://openalex.org/W6782816609","https://openalex.org/W6801844806"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W2580722822","https://openalex.org/W2772305933","https://openalex.org/W1486338765","https://openalex.org/W4387454008"],"abstract_inverted_index":{"Objects":[0],"in":[1,55,112,167],"satellite":[2],"remote":[3,138,168],"sensing":[4,139,169],"image":[5,19],"sequences":[6],"often":[7],"have":[8],"large":[9],"deformations,":[10],"and":[11,37,70,81,92,146,178,190,203],"the":[12,24,39,48,76,83,100,110,113,120,126,134,147,155,174,179],"stereo":[13,187],"matching":[14,25,90,176,181,188],"of":[15,18,50,78,115,137,171],"this":[16,56],"kind":[17],"is":[20,33,53,85],"so":[21],"difficult":[22,161],"that":[23,99,154,196],"rate":[26,177],"generally":[27],"drops.":[28],"A":[29,41],"disparity":[30,44,84,135],"refinement":[31,45,136],"method":[32,42,104,130],"needed":[34],"to":[35,75,133,200],"correct":[36],"fill":[38],"disparity.":[40],"for":[43],"based":[46,67],"on":[47,68],"results":[49,77,97,194],"plane":[51,59,79,102,111,123,128],"segmentation":[52,60,66,80,103,129],"proposed":[54,101,127,156,184],"paper.":[57],"The":[58,95],"algorithm":[61,157],"includes":[62],"two":[63],"steps:":[64],"Initial":[65],"mean-shift":[69],"alpha-expansion-based":[71],"energy":[72],"minimization.":[73],"According":[74],"fitting,":[82],"refined":[86],"by":[87,122],"filling":[88],"missed":[89,142],"regions":[91],"removing":[93],"outliers.":[94],"experimental":[96],"showed":[98,195],"could":[105],"not":[106],"only":[107],"accurately":[108],"fit":[109],"presence":[114],"noise":[116],"but":[117],"also":[118],"approximate":[119],"surface":[121],"combination.":[124],"After":[125],"was":[131,158],"applied":[132],"images,":[140],"many":[141],"matches":[143],"were":[144,150,198],"filled,":[145],"elevation":[148],"errors":[149],"reduced.":[151],"This":[152],"proved":[153],"effective.":[159,204],"For":[160],"evaluations":[162],"resulting":[163],"from":[164],"significant":[165],"variations":[166],"images":[170],"different":[172],"satellites,":[173],"edge":[175,180],"map":[182],"are":[183],"as":[185],"new":[186],"evaluation":[189],"analysis":[191],"tools.":[192],"Experiment":[193],"they":[197],"easy":[199],"use,":[201],"intuitive,":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2021-05-24T00:00:00"}