{"id":"https://openalex.org/W4402265662","doi":"https://doi.org/10.1109/igarss53475.2024.10642624","title":"Hyperspectral Image Classification Method Based On Node Similarity Feature Fusion","display_name":"Hyperspectral Image Classification Method Based On Node Similarity Feature Fusion","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402265662","doi":"https://doi.org/10.1109/igarss53475.2024.10642624"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642624","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642624","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":"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/A5080046816","display_name":"Jiameng Wang","orcid":"https://orcid.org/0009-0002-4935-1074"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiameng Wang","raw_affiliation_strings":["Harbin University of Science and Technology,School of Measurement-Control and Communication Engineering,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology,School of Measurement-Control and Communication Engineering,Harbin,China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102014849","display_name":"Qingyan Wang","orcid":"https://orcid.org/0000-0002-8565-8690"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyan Wang","raw_affiliation_strings":["Harbin University of Science and Technology,School of Measurement-Control and Communication Engineering,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology,School of Measurement-Control and Communication Engineering,Harbin,China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696433","display_name":"Junping Zhang","orcid":"https://orcid.org/0009-0006-2167-4233"},"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":["Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100776573","display_name":"Yujing Wang","orcid":"https://orcid.org/0000-0002-4447-3032"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujing Wang","raw_affiliation_strings":["Harbin University of Science and Technology,School of Measurement-Control and Communication Engineering,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin University of Science and Technology,School of Measurement-Control and Communication Engineering,Harbin,China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8852","last_page":"8855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10057","display_name":"Face and Expression Recognition","score":0.940500020980835,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7657114267349243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7032219767570496},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6808667778968811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6238393187522888},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5434085130691528},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5262754559516907},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5101852416992188},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4827365279197693},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4773578643798828},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4324706196784973},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4188617169857025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3605959117412567},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05684217810630798}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7657114267349243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7032219767570496},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6808667778968811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238393187522888},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5434085130691528},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5262754559516907},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5101852416992188},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4827365279197693},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4773578643798828},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4324706196784973},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4188617169857025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3605959117412567},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05684217810630798},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642624","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642624","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":[],"awards":[],"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":9,"referenced_works":["https://openalex.org/W2547643905","https://openalex.org/W2991494819","https://openalex.org/W3011667710","https://openalex.org/W3107591966","https://openalex.org/W3152893301","https://openalex.org/W3172716931","https://openalex.org/W3202748052","https://openalex.org/W4206578920","https://openalex.org/W4318586076"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"There":[0],"is":[1,27,60,88,99,131],"abundant":[2],"spectral":[3],"and":[4,40,68],"spatial":[5,19,73],"information":[6,20],"in":[7,22,32,36],"Hyperspectral":[8],"images":[9],"(HSI).":[10],"However,":[11],"there":[12,26],"exists":[13],"a":[14,51,80],"limitation":[15,29,65],"of":[16,30,43,48,57,66,72],"not":[17],"using":[18],"sufficiently":[21],"HSI":[23],"classification.":[24],"Besides,":[25],"the":[28,64,106,113,128],"mononuclear":[31,67],"feature":[33,38,59],"extraction,":[34],"resulting":[35],"insufficient":[37,41],"extraction":[39,71],"utilization":[42],"data":[44],"information.":[45,74],"In":[46],"view":[47],"these":[49],"problems,":[50],"node":[52,93],"similarity":[53,94],"semi-supervised":[54],"classification":[55],"method":[56,130],"multiscale":[58,83],"proposed":[61,100,129],"to":[62,76,101],"break":[63],"achieve":[69],"full":[70],"First,":[75],"extract":[77,102],"pixel-level":[78],"features,":[79],"three-dimensional":[81],"(3-D)":[82],"convolutional":[84],"neural":[85],"network":[86],"(CNN)":[87],"used.":[89],"Second,":[90],"based":[91],"on":[92,123],"superpixel":[95],"graph":[96,120],"U-Net":[97],"(NSGUNet)":[98],"superpixel-level":[103],"features.":[104],"Finally,":[105],"above":[107],"two":[108],"features":[109,115],"are":[110,116],"weighted":[111],"fusing,":[112],"fused":[114],"classified":[117],"by":[118],"sparse":[119],"regularization.":[121],"Experiments":[122],"three":[124],"datasets":[125],"illustrate":[126],"that":[127],"effective.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
