{"id":"https://openalex.org/W3090235076","doi":"https://doi.org/10.1109/icip40778.2020.9190949","title":"An End-to-End Adversarial Hashing Method for Unsupervised Multispectral Remote Sensing Image Retrieval","display_name":"An End-to-End Adversarial Hashing Method for Unsupervised Multispectral Remote Sensing Image Retrieval","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090235076","doi":"https://doi.org/10.1109/icip40778.2020.9190949","mag":"3090235076"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5078273583","display_name":"Xuelei Chen","orcid":"https://orcid.org/0000-0003-2476-4403"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelei Chen","raw_affiliation_strings":["Department of Instrument Science and Engineering, Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Instrument Science and Engineering, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027380031","display_name":"Cunyue Lu","orcid":"https://orcid.org/0000-0001-7172-2308"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunyue Lu","raw_affiliation_strings":["Department of Instrument Science and Engineering, Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Instrument Science and Engineering, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1536","last_page":"1540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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/multispectral-image","display_name":"Multispectral image","score":0.8835064172744751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7649588584899902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6577498912811279},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.614858865737915},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.604891300201416},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5641306042671204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5090498328208923},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.44319629669189453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41495904326438904},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33747535943984985}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8835064172744751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649588584899902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6577498912811279},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.614858865737915},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.604891300201416},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5641306042671204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5090498328208923},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.44319629669189453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41495904326438904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33747535943984985},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9190949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1923760064","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W2105568170","https://openalex.org/W2125148312","https://openalex.org/W2125378448","https://openalex.org/W2173520492","https://openalex.org/W2292992741","https://openalex.org/W2340690086","https://openalex.org/W2411541852","https://openalex.org/W2412320034","https://openalex.org/W2544587078","https://openalex.org/W2733548594","https://openalex.org/W2747853580","https://openalex.org/W2780013957","https://openalex.org/W2799245683","https://openalex.org/W2808282156","https://openalex.org/W2809436351","https://openalex.org/W2914885528","https://openalex.org/W2922521335","https://openalex.org/W2962808998","https://openalex.org/W2963281729","https://openalex.org/W2963684088","https://openalex.org/W2964194231","https://openalex.org/W4294568686","https://openalex.org/W4300176521","https://openalex.org/W6640114973","https://openalex.org/W6641061663","https://openalex.org/W6678556256","https://openalex.org/W6685352114","https://openalex.org/W6696891034","https://openalex.org/W6704508018","https://openalex.org/W6714590955","https://openalex.org/W6715501732","https://openalex.org/W6744073472"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W4389779246","https://openalex.org/W1517037119","https://openalex.org/W2125510194"],"abstract_inverted_index":{"Unlike":[0],"natural":[1],"images,":[2],"remote":[3,23,38,123],"sensing":[4,24,39,124],"images":[5,111],"are":[6,79],"usually":[7],"multispectral.":[8],"And":[9],"the":[10,48,61,68,90,96,103,106,130,133],"lack":[11],"of":[12,47,53,109,132],"sufficient":[13],"labeled":[14],"data":[15],"puts":[16],"a":[17,32,56,121],"limit":[18],"on":[19,120],"supervised":[20],"learning":[21,51,75],"for":[22,35],"image":[25,40,125],"retrieval.":[26,41],"In":[27,102],"this":[28],"paper,":[29],"we":[30],"propose":[31],"novel":[33],"method":[34,44,135],"unsupervised":[36,49],"multispectral":[37,110,122],"The":[42],"proposed":[43,134],"makes":[45],"use":[46],"representation":[50],"ability":[52],"GAN.":[54],"Meanwhile,":[55],"new":[57],"reconstruction":[58],"loss":[59],"exploits":[60],"latent":[62],"codes":[63,98,108],"in":[64,115],"GAN":[65],"to":[66,81,87],"make":[67,95],"final":[69],"output":[70,97],"informative":[71],"and":[72,76,100],"representative.":[73],"Transfer":[74],"color":[77],"histograms":[78],"used":[80],"generate":[82],"an":[83,116],"estimated":[84],"similarity":[85],"matrix":[86],"further":[88],"guide":[89],"training.":[91],"Hash":[92],"constraints":[93],"can":[94,112],"binary":[99],"compact.":[101],"testing":[104],"stage,":[105],"hash":[107],"be":[113],"computed":[114],"end-to-end":[117],"manner.":[118],"Experiments":[119],"dataset,":[126],"EuroSAT":[127],"[1],":[128],"show":[129],"superiority":[131],"over":[136],"other":[137],"state-of-the-art":[138],"methods.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
