{"id":"https://openalex.org/W2767063932","doi":"https://doi.org/10.1109/whispers.2015.8075388","title":"Superpixel-based active learning for the classification of hyperspectral images","display_name":"Superpixel-based active learning for the classification of hyperspectral images","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2767063932","doi":"https://doi.org/10.1109/whispers.2015.8075388","mag":"2767063932"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2015.8075388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5002427493","display_name":"Zhongyi Sun","orcid":"https://orcid.org/0000-0002-5099-5363"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Sun","raw_affiliation_strings":["School of Computer Science, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057267422","display_name":"Mingmin Chi","orcid":"https://orcid.org/0000-0003-2650-4146"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210109544","display_name":"Second Institute of Oceanography","ror":"https://ror.org/01tkb7c15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109544"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingmin Chi","raw_affiliation_strings":["School of Computer Science, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China","State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography (SOA), Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography (SOA), Hangzhou, China","institution_ids":["https://openalex.org/I4210109544"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2627,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85882291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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":0.9984999895095825,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9933000206947327,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9904000163078308,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9109902381896973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6936194896697998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6727920770645142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691226959228516},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.6593018770217896},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5521027445793152},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4827965497970581},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45125237107276917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10840269923210144}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9109902381896973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6936194896697998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6727920770645142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691226959228516},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.6593018770217896},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5521027445793152},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4827965497970581},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45125237107276917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10840269923210144},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2015.8075388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1483816357","https://openalex.org/W1514940655","https://openalex.org/W1845402413","https://openalex.org/W2065383075","https://openalex.org/W2107131609","https://openalex.org/W2114691401","https://openalex.org/W2118246710","https://openalex.org/W2139573966","https://openalex.org/W2150045166","https://openalex.org/W6628964739","https://openalex.org/W6630965568","https://openalex.org/W6638701278"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"It":[0],"is":[1,25,46,70,130],"important":[2],"to":[3,27,73,77,92,122],"select":[4,29,74],"representative":[5],"patterns":[6],"for":[7,33],"successful":[8],"classification":[9,145],"of":[10,41,152],"remotely":[11],"sensing":[12,44],"images.":[13,135],"In":[14,37],"the":[15,50,79,85,98,106,110,124,140,144],"paper,":[16],"a":[17,42,93],"superpixel-based":[18],"active":[19,68],"learning":[20,69],"(shorted":[21],"as":[22,147,149],"SPAL)":[23],"algorithm":[24,129],"proposed":[26,127],"iteratively":[28,71],"informative":[30,75],"unlabeled":[31,86],"samples":[32,76,87,102,111],"labeling":[34],"by":[35,48,132],"experts.":[36],"particular,":[38],"new":[39],"representation":[40],"remote":[43],"image":[45],"generated":[47],"grouping":[49],"data":[51],"into":[52],"perceptually":[53],"meaningful":[54],"atomic":[55],"regions,":[56],"i.e.,":[57],"superpixels":[58,119],"which":[59],"have":[60],"both":[61],"spectral":[62],"similarity":[63],"and":[64],"spatial":[65],"adjacency.":[66],"Then,":[67,97],"exploited":[72],"enlarge":[78],"training":[80],"dataset.":[81],"At":[82],"each":[83,114],"iteration,":[84],"are":[88,103,116],"firstly":[89],"sorted":[90],"according":[91],"prefixed":[94],"uncertain":[95,101],"strategy.":[96],"few":[99],"highest":[100],"selected":[104,112],"on":[105],"assumption":[107],"that":[108,139],"all":[109],"at":[113],"iteration":[115],"from":[117],"different":[118],"in":[120],"order":[121],"guarantee":[123],"diversity.":[125],"The":[126],"SPAL":[128,141],"validated":[131],"real":[133],"hyperspectral":[134],"Experimental":[136],"results":[137],"show":[138],"can":[142],"improve":[143],"accuracies":[146],"well":[148],"significant":[150],"enhancement":[151],"computational":[153],"efficiency.":[154]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
