{"id":"https://openalex.org/W3031037890","doi":"https://doi.org/10.1145/3383972.3384032","title":"Multi-task Learning for Bi-temporal Remote Sensing Scene Parsing via Patch-pixel Representation","display_name":"Multi-task Learning for Bi-temporal Remote Sensing Scene Parsing via Patch-pixel Representation","publication_year":2020,"publication_date":"2020-02-15","ids":{"openalex":"https://openalex.org/W3031037890","doi":"https://doi.org/10.1145/3383972.3384032","mag":"3031037890"},"language":"en","primary_location":{"id":"doi:10.1145/3383972.3384032","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3384032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","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/A5043203644","display_name":"Chenqin Fu","orcid":null},"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":true,"raw_author_name":"Chenqin Fu","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072113936","display_name":"Tengfei Bao","orcid":"https://orcid.org/0000-0001-5412-7718"},"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":"Tengfei Bao","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101820249","display_name":"Liang Lv","orcid":"https://orcid.org/0000-0003-4083-394X"},"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":"Liang Lv","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053368138","display_name":"Salayidin Sirajidin","orcid":null},"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":"Salayidin Sirajidin","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101615935","display_name":"Tao Fang","orcid":"https://orcid.org/0000-0002-8277-2551"},"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":"Tao Fang","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011090035","display_name":"Hong Huo","orcid":"https://orcid.org/0000-0002-2862-9455"},"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":"Hong Huo","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043203644"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19786656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973000288009644,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.840117335319519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.74111008644104},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6473620533943176},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6043811440467834},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5470494031906128},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5308037400245667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.525402843952179},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5153283476829529},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5123932957649231},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4591689705848694},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43907925486564636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840117335319519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.74111008644104},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6473620533943176},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6043811440467834},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5470494031906128},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5308037400245667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.525402843952179},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5153283476829529},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5123932957649231},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4591689705848694},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43907925486564636},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383972.3384032","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3384032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5628629744","display_name":null,"funder_award_id":"41571402","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2116296021","https://openalex.org/W2395611524","https://openalex.org/W2407362091","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2563705555","https://openalex.org/W2584044869","https://openalex.org/W2609077090","https://openalex.org/W2612445135","https://openalex.org/W2762439315","https://openalex.org/W2786036168","https://openalex.org/W2886934227","https://openalex.org/W2888697548","https://openalex.org/W2891248708","https://openalex.org/W2930727815","https://openalex.org/W2953654533","https://openalex.org/W2979572910","https://openalex.org/W2999219213","https://openalex.org/W4308909683","https://openalex.org/W4365806503","https://openalex.org/W6631782140","https://openalex.org/W6687483927","https://openalex.org/W6750297457"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Bi-temporal":[0],"high":[1],"resolution":[2],"(BHR)":[3],"remote":[4],"sensing":[5],"images":[6,20,35],"assemble":[7],"abundant":[8],"information":[9],"and":[10,182,206],"ample":[11],"ground":[12],"details.":[13],"Recently,":[14],"scene":[15,64,76,96,136],"parsing":[16,65,97],"based":[17],"on":[18,83,180],"bi-temporal":[19,34],"has":[21,190],"played":[22],"an":[23],"important":[24],"role":[25],"in":[26,66,98,204],"many":[27],"fields.":[28],"Nevertheless,":[29],"for":[30,63,94,171],"the":[31,48,84,102,105,141,193],"purpose":[32],"of":[33,50,74,104,143,148],"understanding,":[36],"conventional":[37],"semantic":[38,149],"segmentation":[39,150],"can":[40],"neither":[41],"utilized":[42],"feature":[43,113,119,126],"relevance":[44],"adequately":[45],"nor":[46],"tackle":[47],"problem":[49],"low-speed":[51],"inference.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,107],"propose":[57],"a":[58,87,145,160],"confused":[59],"matrix":[60],"unit":[61,71],"(CMU)":[62],"BHR":[67,99,116],"images.":[68,100,117],"The":[69,174,187],"designed":[70,152],"is":[72,92,122,131,151,163,177],"capable":[73],"representing":[75],"transformation":[77],"condition":[78],"at":[79],"patch":[80],"level.":[81],"Based":[82],"proposed":[85,175,194],"unit,":[86],"Siamese":[88,109],"fully":[89],"convolution":[90],"network":[91],"developed":[93],"supervised":[95],"For":[101],"details":[103],"network,":[106],"design":[108],"architecture":[110],"to":[111,124,133,140,153,166],"obtain":[112],"representation":[114],"from":[115],"Then,":[118],"aggregation":[120],"protocol":[121],"implemented":[123],"yield":[125],"fusion":[127],"map.":[128],"Next,":[129],"CMU":[130],"calculated":[132],"reflect":[134],"patch-level":[135],"content.":[137],"Subsequently,":[138],"according":[139],"results":[142],"CMU,":[144],"decoder":[146],"part":[147],"achieve":[154],"binary":[155],"pixel-level":[156],"change":[157],"detection.":[158],"Finally,":[159],"post-processing":[161],"operation":[162],"carried":[164],"out":[165],"assign":[167],"different":[168,172],"dense":[169],"labels":[170],"scenes.":[173],"method":[176],"evaluated":[178],"both":[179],"aerial":[181],"satellite":[183],"image":[184],"data":[185],"sets.":[186],"test":[188],"result":[189],"illustrated":[191],"that":[192],"algorithm":[195],"achieves":[196],"better":[197],"performance":[198],"than":[199],"other":[200],"existing":[201],"methods,":[202],"especially":[203],"accuracy":[205],"inference":[207],"time.":[208]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}