{"id":"https://openalex.org/W3206844432","doi":"https://doi.org/10.1109/igarss47720.2021.9553750","title":"Stereo Matching Algorithm for High-Resolution Remote Sensing Images Based on Sparse Coding and Dictionary Learning","display_name":"Stereo Matching Algorithm for High-Resolution Remote Sensing Images Based on Sparse Coding and Dictionary Learning","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206844432","doi":"https://doi.org/10.1109/igarss47720.2021.9553750","mag":"3206844432"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100761789","display_name":"Dongyang Liu","orcid":"https://orcid.org/0000-0003-3342-8356"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyang Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055511547","display_name":"Youliang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youliang Guo","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"4802","last_page":"4805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","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/T11019","display_name":"Image Enhancement Techniques","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7679394483566284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7198379039764404},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6288987398147583},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.626032829284668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6102092266082764},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.587602972984314},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.542303740978241},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4483998417854309},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41236698627471924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36742833256721497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33761143684387207},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25055769085884094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13842228055000305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7679394483566284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7198379039764404},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6288987398147583},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.626032829284668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6102092266082764},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.587602972984314},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.542303740978241},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4483998417854309},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41236698627471924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36742833256721497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33761143684387207},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25055769085884094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13842228055000305},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1849479095","display_name":"\u5bbd\u6ce2\u6bb5\u591a\u7ef4\u5ea6\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u5206\u6790\u53ca\u89e3\u8bd1\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871150","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":11,"referenced_works":["https://openalex.org/W1772650917","https://openalex.org/W1996126470","https://openalex.org/W2021574873","https://openalex.org/W2107861471","https://openalex.org/W2117248802","https://openalex.org/W2148534289","https://openalex.org/W2792734991","https://openalex.org/W2963268471","https://openalex.org/W2963502507","https://openalex.org/W6634380795","https://openalex.org/W6638039622"],"related_works":["https://openalex.org/W2793063187","https://openalex.org/W2065031478","https://openalex.org/W2161305109","https://openalex.org/W3012953444","https://openalex.org/W2511045973","https://openalex.org/W2081533887","https://openalex.org/W22502857","https://openalex.org/W2026350744","https://openalex.org/W2895515333","https://openalex.org/W3010037765"],"abstract_inverted_index":{"With":[0],"the":[1,40,46,59,85,111,125],"development":[2],"of":[3,27,42,50],"remote":[4,12,28,67],"sensing":[5,13,29,68],"imaging":[6],"technology,":[7],"more":[8,10],"and":[9,48,77,88,96,117,133],"high-resolution":[11],"images":[14],"can":[15,82],"be":[16,56],"easily":[17],"obtained.":[18],"As":[19],"a":[20,36,66],"significant":[21],"processing":[22],"step":[23],"in":[24,39,110,131],"3D":[25],"reconstruction":[26],"images,":[30],"stereo":[31,43,51,70],"matching":[32,52,71,86,91,119],"has":[33],"always":[34],"been":[35],"hot":[37],"spot":[38],"field":[41],"vision.":[44],"However,":[45],"efficiency":[47,87,132],"accuracy":[49],"algorithms":[53],"remain":[54],"to":[55,114],"improved,":[57],"particularly":[58],"efficiency.":[60],"To":[61],"this":[62],"end,":[63],"we":[64],"propose":[65],"image":[69],"algorithm":[72,127],"based":[73],"on":[74],"sparse":[75],"coding":[76],"dictionary":[78,102],"learning":[79,103],"(SCDL),":[80],"which":[81],"greatly":[83],"improve":[84],"achieve":[89],"higher":[90],"accuracy.":[92,134],"In":[93],"SCDL,":[94],"positive":[95],"negative":[97],"samples":[98],"are":[99],"introduced":[100],"into":[101],"phase.":[104],"A":[105],"constraint":[106],"term":[107],"is":[108],"designed":[109],"objective":[112],"function":[113],"discriminate":[115],"correct":[116],"incorrect":[118],"points.":[120],"Experimental":[121],"results":[122],"show":[123],"that":[124],"proposed":[126],"performed":[128],"well":[129],"both":[130]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
