{"id":"https://openalex.org/W3184375104","doi":"https://doi.org/10.1109/tgrs.2021.3094582","title":"Polygon Structure-Guided Hyperspectral Image Classification With Single Sample for Strong Geometric Characteristics Scenes","display_name":"Polygon Structure-Guided Hyperspectral Image Classification With Single Sample for Strong Geometric Characteristics Scenes","publication_year":2021,"publication_date":"2021-07-21","ids":{"openalex":"https://openalex.org/W3184375104","doi":"https://doi.org/10.1109/tgrs.2021.3094582","mag":"3184375104"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3094582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3094582","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100450360","display_name":"Shuo Zhang","orcid":"https://orcid.org/0000-0002-1841-1727"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-2531","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011401698","display_name":"Puhong Duan","orcid":"https://orcid.org/0000-0001-5066-4399"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Puhong Duan","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5066-4399","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641761","display_name":"Bin Sun","orcid":"https://orcid.org/0000-0002-7029-8784"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Sun","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7029-8784","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":2.6161,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90472427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9962999820709229,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9776999950408936,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8106454014778137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6780977845191956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6686235666275024},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.6619548797607422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6410487294197083},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5540961027145386},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4911651313304901},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4801047146320343},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4667395055294037},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4493926465511322},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37636321783065796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3030974864959717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2919407784938812},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.28480151295661926},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12867134809494019}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8106454014778137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6780977845191956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6686235666275024},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.6619548797607422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410487294197083},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5540961027145386},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4911651313304901},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4801047146320343},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4667395055294037},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4493926465511322},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37636321783065796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3030974864959717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2919407784938812},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28480151295661926},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12867134809494019},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3094582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3094582","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G2027762821","display_name":null,"funder_award_id":"61890962","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2347620635","display_name":null,"funder_award_id":"61801178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2716665530","display_name":null,"funder_award_id":"2019JJ50036","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G4878062729","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u5206\u7c7b\u8bad\u7ec3\u6837\u672c\u95ee\u9898\u7814\u7a76","funder_award_id":"61871179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6234532813","display_name":null,"funder_award_id":"2018TP1013","funder_id":"https://openalex.org/F4320330458","funder_display_name":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320330458","display_name":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1897878572","https://openalex.org/W1939429412","https://openalex.org/W1944585701","https://openalex.org/W1990895816","https://openalex.org/W2001298023","https://openalex.org/W2004754531","https://openalex.org/W2081809992","https://openalex.org/W2090424610","https://openalex.org/W2097238823","https://openalex.org/W2107131609","https://openalex.org/W2113464037","https://openalex.org/W2114819256","https://openalex.org/W2119363183","https://openalex.org/W2136251662","https://openalex.org/W2149471024","https://openalex.org/W2150045166","https://openalex.org/W2153409933","https://openalex.org/W2158400785","https://openalex.org/W2159070926","https://openalex.org/W2160072137","https://openalex.org/W2164437025","https://openalex.org/W2294492906","https://openalex.org/W2324845311","https://openalex.org/W2341894713","https://openalex.org/W2507855991","https://openalex.org/W2519307493","https://openalex.org/W2600061660","https://openalex.org/W2612271937","https://openalex.org/W2620858446","https://openalex.org/W2743618639","https://openalex.org/W2749506874","https://openalex.org/W2754507318","https://openalex.org/W2767805377","https://openalex.org/W2790396413","https://openalex.org/W2802773224","https://openalex.org/W2804458818","https://openalex.org/W2816653114","https://openalex.org/W2885776085","https://openalex.org/W2889192935","https://openalex.org/W2943270518","https://openalex.org/W2947058136","https://openalex.org/W2947543764","https://openalex.org/W2981959903","https://openalex.org/W2990128068","https://openalex.org/W3004925702","https://openalex.org/W3041024848","https://openalex.org/W3046027728","https://openalex.org/W3049655825","https://openalex.org/W3093896170","https://openalex.org/W3104418202","https://openalex.org/W3113762501","https://openalex.org/W3114720220","https://openalex.org/W3122774149","https://openalex.org/W3127327694","https://openalex.org/W4231375865","https://openalex.org/W4240485910"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W4230131218"],"abstract_inverted_index":{"Combining":[0],"spectral":[1,62,81],"and":[2,64,143],"spatial":[3,65,138],"information":[4,68,122],"can":[5,132],"significantly":[6],"improve":[7,73],"the":[8,27,36,61,74,78,101,110,120,137,145,156,169],"classification":[9,21,31,54,75,146],"performance":[10],"of":[11,18,29,38,113,123,140,171],"hyperspectral":[12],"image":[13],"(HSI).":[14],"Currently,":[15],"a":[16,51],"lot":[17],"spectral\u2013spatial":[19],"HSI":[20,30,53],"methods":[22],"have":[23],"been":[24],"proposed.":[25],"However,":[26],"task":[28],"has":[32],"remained":[33],"challenging":[34],"since":[35],"number":[37,170],"training":[39,87,164],"samples":[40,96,172],"is":[41,83,106,126,173],"limited":[42],"in":[43,59,116],"real":[44,152],"scenarios.":[45],"In":[46],"this":[47],"article,":[48],"we":[49],"propose":[50],"novel":[52],"framework":[55],"with":[56,97],"single":[57,174],"sample,":[58],"which":[60,89,131],"self-similarity":[63,82],"polygon":[66],"structure":[67,112],"are":[69],"fully":[70],"combined":[71],"to":[72,85,93,108,135],"performance.":[76],"On":[77,100],"one":[79],"hand,":[80,103],"used":[84],"expand":[86],"samples,":[88],"makes":[90],"it":[91],"possible":[92],"obtain":[94],"sufficient":[95],"minimal":[98],"cost.":[99],"other":[102],"polygonal":[104,129],"partition":[105],"introduced":[107],"acquire":[109],"geometrical":[111],"land":[114],"covers":[115],"man-made":[117],"environments.":[118],"Specifically,":[119],"edge":[121],"geometric":[124],"objects":[125],"captured":[127],"by":[128],"partition,":[130],"be":[133],"utilized":[134],"constrain":[136],"range":[139],"sample":[141,165],"expansion":[142],"optimize":[144],"results.":[147],"Experimental":[148],"results":[149],"on":[150],"three":[151],"HSIs":[153],"illustrate":[154],"that":[155],"proposed":[157],"method":[158],"performs":[159],"very":[160],"well":[161],"under":[162],"small":[163],"size":[166],"even":[167],"when":[168],"per":[175],"class.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}