{"id":"https://openalex.org/W3027886127","doi":"https://doi.org/10.1109/tgrs.2020.2992032","title":"Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode","display_name":"Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode","publication_year":2020,"publication_date":"2020-05-19","ids":{"openalex":"https://openalex.org/W3027886127","doi":"https://doi.org/10.1109/tgrs.2020.2992032","mag":"3027886127"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2992032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2992032","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/A5100453033","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0001-9752-9530"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9752-9530","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059262797","display_name":"Xu Tang","orcid":"https://orcid.org/0000-0003-1375-0778"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1375-0778","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049776440","display_name":"Xiangrong Zhang","orcid":"https://orcid.org/0000-0003-0379-2042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Zhang","raw_affiliation_strings":["National Key laboratory for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi\u2019an, China","National Key laboratory for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-0379-2042","affiliations":[{"raw_affiliation_string":"National Key laboratory for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key laboratory for Radar Signal Processing and Institute of Intelligent Information Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625089","display_name":"Jia Liu","orcid":"https://orcid.org/0000-0002-5999-2361"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5999-2361","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.796,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75469622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"59","issue":"1","first_page":"363","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9959999918937683,"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":0.979200005531311,"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/computer-science","display_name":"Computer science","score":0.7856824994087219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6954939365386963},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6109581589698792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5984976291656494},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5764970183372498},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5462150573730469},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4920622706413269},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4825277030467987},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4813459813594818},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4411672055721283},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4359247386455536},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.41957688331604004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35389822721481323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7856824994087219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6954939365386963},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6109581589698792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5984976291656494},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5764970183372498},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5462150573730469},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4920622706413269},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4825277030467987},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4813459813594818},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4411672055721283},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4359247386455536},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.41957688331604004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35389822721481323},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.2992032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2992032","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":[],"awards":[{"id":"https://openalex.org/G2202287376","display_name":null,"funder_award_id":"30919011279","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2518223754","display_name":null,"funder_award_id":"30919011281","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5719699864","display_name":null,"funder_award_id":"61801351","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5740907933","display_name":null,"funder_award_id":"BK20190451","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6190154228","display_name":null,"funder_award_id":"61802190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8460510842","display_name":null,"funder_award_id":"61906093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1529410181","https://openalex.org/W1546771929","https://openalex.org/W1583106483","https://openalex.org/W1795068553","https://openalex.org/W1915480574","https://openalex.org/W1944540851","https://openalex.org/W1945608308","https://openalex.org/W1964069486","https://openalex.org/W1965852574","https://openalex.org/W1978608824","https://openalex.org/W2000445122","https://openalex.org/W2003978305","https://openalex.org/W2018243050","https://openalex.org/W2026945162","https://openalex.org/W2033710484","https://openalex.org/W2034073840","https://openalex.org/W2036798369","https://openalex.org/W2045653050","https://openalex.org/W2049061912","https://openalex.org/W2055149942","https://openalex.org/W2057670944","https://openalex.org/W2103666701","https://openalex.org/W2110519070","https://openalex.org/W2111320133","https://openalex.org/W2111809230","https://openalex.org/W2112739286","https://openalex.org/W2118246710","https://openalex.org/W2120641882","https://openalex.org/W2121348175","https://openalex.org/W2125416623","https://openalex.org/W2126176832","https://openalex.org/W2131228247","https://openalex.org/W2131605659","https://openalex.org/W2132671857","https://openalex.org/W2140023211","https://openalex.org/W2140235830","https://openalex.org/W2144552105","https://openalex.org/W2146075447","https://openalex.org/W2152185773","https://openalex.org/W2160544350","https://openalex.org/W2163605009","https://openalex.org/W2169899245","https://openalex.org/W2170140722","https://openalex.org/W2221448138","https://openalex.org/W2299851271","https://openalex.org/W2342626288","https://openalex.org/W2412782625","https://openalex.org/W2517579290","https://openalex.org/W2611719608","https://openalex.org/W2785294182","https://openalex.org/W2883305476","https://openalex.org/W2963542991","https://openalex.org/W3099394812","https://openalex.org/W3106359699","https://openalex.org/W4293402673","https://openalex.org/W4300336863","https://openalex.org/W6629368666","https://openalex.org/W6631611276","https://openalex.org/W6638264490","https://openalex.org/W6684191040","https://openalex.org/W6764062975"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W3205829146"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2,237],"based":[3,182],"on":[4,183],"the":[5,12,26,61,90,179,184,195,207,235,241,247],"Looking-Around-and-Into":[6],"(LAaI)":[7],"mode":[8,28,186],"is":[9,77,86,147,169,227],"proposed":[10,180,236],"for":[11],"task":[13,242],"of":[14,30,73,92,137,198,210,222,243],"change":[15,162,216,244],"detection":[16,163,217,245],"in":[17,65,108,120,202,212,218,229,240,246],"large-scope":[18,248],"Polarimetric":[19],"Synthetic":[20],"Aperture":[21],"Radar":[22],"(PolSAR)":[23],"image.":[24,250],"Specifically,":[25],"LAaI":[27,185],"consists":[29],"two":[31],"processes":[32],"named":[33],"Look-Around":[34],"and":[35,45,60,149,160,204,224,231],"Look-Into,":[36,135],"which":[37],"are":[38,111,118,140,165,174],"accomplished":[39],"by":[40,96],"attention":[41,99],"proposal":[42],"network":[43,49],"(APN)":[44],"recurrent":[46],"convolutional":[47],"neural":[48],"(CNN)":[50],"(Recurrent":[51],"CNN),":[52],"respectively.":[53],"The":[54,167,220],"former":[55],"provides":[56],"certain":[57],"subregions":[58,66,94,103],"efficiently,":[59],"latter":[62],"detects":[63],"changes":[64,199,211],"accurately.":[67],"In":[68,134],"Look-Around,":[69],"difference":[70],"image":[71],"(DI)":[72],"whole":[74,189],"PolSAR":[75,155,249],"images":[76,190],"calculated":[78],"first":[79,191],"to":[80,88,131,151,192],"get":[81],"global":[82],"information;":[83],"then,":[84,144],"APN":[85,223],"established":[87],"locate":[89],"position":[91,197],"interested":[93,102,127],"intentionally":[95],"paying":[97],"special":[98],"to;":[100],"next":[101],"that":[104,125,158,234],"contain":[105],"changed":[106],"area":[107],"high":[109],"probability":[110],"picked":[112],"out":[113,194],"as":[114],"candidate-regions.":[115],"Moreover,":[116],"candidate-regions":[117,136,173],"sorted":[119],"importance":[121],"descending":[122],"order":[123],"so":[124,157],"highly":[126],"regions":[128],"have":[129],"priority":[130],"be":[132],"detected.":[133,175],"different":[138,213],"scales":[139,214],"selected":[141],"at":[142],"first;":[143],"Recurrent":[145,225],"CNN":[146,226],"constructed":[148],"employed":[150],"deal":[152],"with":[153],"multiscale":[154],"subimages":[156],"clearer":[159],"finer":[161],"results":[164],"generated.":[166],"process":[168],"repeated":[170],"until":[171],"all":[172],"As":[176],"a":[177],"whole,":[178],"algorithm":[181],"looks":[187],"around":[188],"find":[193],"possible":[196],"(candidate-regions":[200],"generation":[201],"Look-Around)":[203],"then":[205],"reveal":[206],"exact":[208],"shape":[209],"(multiscale":[215],"Look-Into).":[219],"effect":[221],"verified":[228],"experiments,":[230],"it":[232],"shows":[233],"performs":[238],"well":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
