{"id":"https://openalex.org/W3105409087","doi":"https://doi.org/10.3390/rs9050489","title":"Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval","display_name":"Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval","publication_year":2017,"publication_date":"2017-05-17","ids":{"openalex":"https://openalex.org/W3105409087","doi":"https://doi.org/10.3390/rs9050489","mag":"3105409087"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9050489","pdf_url":"https://www.mdpi.com/2072-4292/9/5/489/pdf?version=1495018482","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/9/5/489/pdf?version=1495018482","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102938472","display_name":"Weixun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"funder","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixun Zhou","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080842379","display_name":"Shawn Newsam","orcid":"https://orcid.org/0000-0001-6803-5291"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"funder","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shawn Newsam","raw_affiliation_strings":["Electrical Engineering and Computer Science, University of California, Merced, CA 95343, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, University of California, Merced, CA 95343, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116437744","display_name":"Congmin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"funder","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congmin Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070629154","display_name":"Zhenfeng Shao","orcid":"https://orcid.org/0000-0003-4587-6826"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"funder","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenfeng Shao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070629154"],"corresponding_institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":13.299,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":139,"citation_normalized_percentile":{"value":0.999936,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"9","issue":"5","first_page":"489","last_page":"489"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997,"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":0.9997,"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":0.9989,"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":0.9964,"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/feature","display_name":"Feature (linguistics)","score":0.6421529},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.46520644},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature Learning","score":0.44828215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8605511},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.76465607},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6421529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6420639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.54953176},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.535353},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5335016},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.46520644},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46242446},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.45021397},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44828215},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4125988},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3674179},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33295465},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9050489","pdf_url":"https://www.mdpi.com/2072-4292/9/5/489/pdf?version=1495018482","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1610.03023","pdf_url":"https://arxiv.org/pdf/1610.03023","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://doaj.org/article/02376e68b51140838e028f56fcd8e07c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.1610.03023","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9050489","pdf_url":"https://www.mdpi.com/2072-4292/9/5/489/pdf?version=1495018482","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61671332"},{"funder":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities","award_id":"2042016kf0179 and 2042016kf1019"}],"datasets":[],"versions":["https://openalex.org/W2567850185","https://openalex.org/W3105409087"],"referenced_works_count":50,"referenced_works":["https://openalex.org/W1524680991","https://openalex.org/W1560922506","https://openalex.org/W1566135517","https://openalex.org/W1606858007","https://openalex.org/W1686810756","https://openalex.org/W1783842908","https://openalex.org/W1799366690","https://openalex.org/W1904365287","https://openalex.org/W1912954554","https://openalex.org/W1922773808","https://openalex.org/W1958291604","https://openalex.org/W1963882359","https://openalex.org/W1989316905","https://openalex.org/W1994002998","https://openalex.org/W2006603039","https://openalex.org/W2012592962","https://openalex.org/W2025247254","https://openalex.org/W2033242207","https://openalex.org/W2038359773","https://openalex.org/W2091280333","https://openalex.org/W2108598243","https://openalex.org/W2115072079","https://openalex.org/W2118187752","https://openalex.org/W2123229215","https://openalex.org/W2129601604","https://openalex.org/W2131386954","https://openalex.org/W2131846894","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2156387975","https://openalex.org/W2161346036","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2169648929","https://openalex.org/W2190186811","https://openalex.org/W2204975001","https://openalex.org/W2248723555","https://openalex.org/W2262038409","https://openalex.org/W2386473615","https://openalex.org/W2515440612","https://openalex.org/W2554170757","https://openalex.org/W2592962403","https://openalex.org/W2919115771","https://openalex.org/W2949266290","https://openalex.org/W2950094539","https://openalex.org/W2953066166","https://openalex.org/W2963173190","https://openalex.org/W2963256013","https://openalex.org/W2963911037","https://openalex.org/W3105577662"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4226493464","https://openalex.org/W3193565141","https://openalex.org/W3167935049","https://openalex.org/W3141979996","https://openalex.org/W3133861977","https://openalex.org/W3113054633","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2951211570"],"abstract_inverted_index":{"Learning":[0],"powerful":[1,81],"feature":[2,56,82,101],"representations":[3,57,83],"for":[4,64,84],"image":[5,68],"retrieval":[6,69],"has":[7,160],"always":[8],"been":[9],"a":[10,90,94,100,113,138,145,154],"challenging":[11],"task":[12],"in":[13],"the":[14,41,87,118,134,164,193,197],"field":[15],"of":[16,43],"remote":[17,44,66,108,139],"sensing.":[18],"Traditional":[19],"methods":[20],"focus":[21],"on":[22,59,93,137,150,183],"extracting":[23],"low-level":[24],"hand-crafted":[25],"features":[26,124,174],"which":[27],"are":[28,77,105,126,181],"not":[29],"only":[30],"time-consuming":[31],"but":[32],"also":[33],"tend":[34],"to":[35,40,53,79,111,128],"achieve":[36,200],"unsatisfactory":[37],"performance":[38],"due":[39],"complexity":[42],"sensing":[45,67,109,140],"images.":[46,178],"In":[47,86,117],"this":[48,72],"paper,":[49],"we":[50,121],"investigate":[51,122],"how":[52],"extract":[54],"deep":[55],"based":[58,149],"convolutional":[60,151],"neural":[61],"networks":[62],"(CNNs)":[63],"high-resolution":[65],"(HRRSIR).":[70],"To":[71],"end,":[73],"several":[74,184],"effective":[75],"schemes":[76,180],"proposed":[78,194],"generate":[80],"HRRSIR.":[85],"first":[88,132],"scheme,":[89,120],"CNN":[91,114,136,147,159],"pre-trained":[92,135,165],"different":[95],"problem":[96,130],"is":[97],"treated":[98],"as":[99],"extractor":[102],"since":[103],"there":[104],"no":[106],"sufficiently-sized":[107],"datasets":[110],"train":[112],"from":[115,175],"scratch.":[116],"second":[119],"learning":[123],"that":[125,192],"specific":[127],"our":[129],"by":[131],"fine-tuning":[133],"dataset":[141],"and":[142,153,166,169],"then":[143],"proposing":[144],"novel":[146,158,198],"architecture":[148],"layers":[152],"three-layer":[155],"perceptron.":[156],"The":[157,179,189],"fewer":[161],"parameters":[162],"than":[163],"fine-tuned":[167],"CNNs":[168],"can":[170],"learn":[171],"low":[172],"dimensional":[173],"limited":[176],"labelled":[177],"evaluated":[182],"challenging,":[185],"publicly":[186],"available":[187],"datasets.":[188],"results":[190],"indicate":[191],"schemes,":[195],"particularly":[196],"CNN,":[199],"state-of-the-art":[201],"performance.":[202]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3105409087","counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":9}],"updated_date":"2025-03-20T15:16:42.055215","created_date":"2020-11-23"}