{"id":"https://openalex.org/W4402260806","doi":"https://doi.org/10.1109/igarss53475.2024.10641420","title":"High-Resolution Reconstruction and Image Classification Based on Optical Multi-Angle Information","display_name":"High-Resolution Reconstruction and Image Classification Based on Optical Multi-Angle Information","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260806","doi":"https://doi.org/10.1109/igarss53475.2024.10641420"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641420","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","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/A5100365605","display_name":"Yifei Wang","orcid":"https://orcid.org/0000-0003-1022-9119"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Wang","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101506179","display_name":"Xiaoning Zhang","orcid":"https://orcid.org/0000-0001-6578-9346"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning Zhang","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004770935","display_name":"Ziti Jiao","orcid":"https://orcid.org/0000-0002-3701-0830"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziti Jiao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Normal University,Beijing,China,100875"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Normal University,Beijing,China,100875","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478035","display_name":"Ye Fan","orcid":"https://orcid.org/0000-0002-8752-5883"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Ye","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027351864","display_name":"Zhao-Yang Peng","orcid":"https://orcid.org/0000-0003-3846-0988"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Peng","raw_affiliation_strings":["School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"School of Mechatronical Engineering, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100365605"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1245181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3022","last_page":"3025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9872000217437744,"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":0.6500022411346436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6365302801132202},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6090637445449829},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5583662390708923},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.47754916548728943},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4732922911643982},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45235779881477356},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4268721342086792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500022411346436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6365302801132202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6090637445449829},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5583662390708923},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.47754916548728943},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4732922911643982},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45235779881477356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4268721342086792}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641420","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2033815159","https://openalex.org/W2138448722","https://openalex.org/W2173121193","https://openalex.org/W2770928509","https://openalex.org/W2883266550","https://openalex.org/W2963723624","https://openalex.org/W4382897076","https://openalex.org/W4385280017"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W2142226356","https://openalex.org/W2056165575"],"abstract_inverted_index":{"Earth":[0],"observation":[1],"technology":[2],"plays":[3],"an":[4,60],"important":[5],"role":[6],"in":[7],"military":[8],"reconnaissance,":[9],"agriculture":[10],"and":[11,42,85,117,120,143],"forestry":[12],"plant":[13,122],"protection,":[14],"emergency":[15],"disaster":[16],"relief,":[17],"etc.":[18],"In":[19,131],"this":[20,128],"paper,":[21],"we":[22,53],"mainly":[23],"apply":[24],"a":[25],"prototype":[26],"inversion":[27,109,129],"algorithm:":[28],"based":[29],"on":[30],"the":[31,47,55,66,81,86,97,104,111,121,134,137,150],"multi-angle":[32,68],"multi-spatial":[33],"scale":[34],"data":[35],"of":[36,107,133],"three":[37,112,138],"scenes":[38,113,139],"including":[39],"trees,":[40],"buildings":[41],"mixed":[43],"objects":[44],"simulated":[45,87],"by":[46],"three-dimensional":[48],"radiative":[49],"transfer":[50],"model":[51],"LESS,":[52],"take":[54],"500m/pixel":[56],"coarse-resolution":[57],"BRDF":[58,108],"as":[59,92],"archetype":[61],"priori":[62],"information":[63,69],"to":[64,79,95],"reconstruct":[65],"high-resolution":[67],"at":[70],"10m/pixel":[71],"level.":[72],"Then,":[73],"sensitive":[74],"feature":[75],"indices":[76],"are":[77,90,114,140],"used":[78,91],"categorize":[80],"reconstructed":[82],"10m":[83,88],"images,":[84],"images":[89],"standard":[93],"values":[94],"evaluate":[96],"classification":[98,135],"accuracy.":[99,152],"The":[100],"results":[101],"show":[102],"that":[103],"average":[105],"accuracies":[106],"for":[110,127],"96.2%,":[115],"50.08%":[116],"71.43%,":[118],"respectively,":[119,145],"class":[123],"is":[124],"more":[125],"suitable":[126],"model.":[130],"terms":[132],"accuracies,":[136],"60.52%,":[141],"96.84%":[142],"76.60%,":[144],"with":[146],"building":[147],"scene":[148],"shows":[149],"highest":[151]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}