{"id":"https://openalex.org/W4398757505","doi":"https://doi.org/10.1109/tgrs.2024.3404598","title":"Time Correlation Entropy: A Novel Multitemporal PolSAR Feature and Its Application in Salt Lake Classification","display_name":"Time Correlation Entropy: A Novel Multitemporal PolSAR Feature and Its Application in Salt Lake Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398757505","doi":"https://doi.org/10.1109/tgrs.2024.3404598"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3404598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3404598","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/A5100690860","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-2058-2373"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["College of Information Science and Technology and the Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2058-2373","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology and the Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037686112","display_name":"Fanle Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanle Meng","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069637938","display_name":"Fei Ma","orcid":"https://orcid.org/0000-0003-4906-6142"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ma","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4906-6142","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082881761","display_name":"Qiang Yin","orcid":"https://orcid.org/0000-0002-8413-4756"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Yin","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8413-4756","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011454815","display_name":"Yongsheng Zhou","orcid":"https://orcid.org/0000-0001-7261-7606"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Zhou","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7261-7606","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100690860"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":2.4608,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89941331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"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":0.9980999827384949,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9750999808311462,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6204817295074463},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.543910801410675},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5361354947090149},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5230796933174133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4816914498806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42916348576545715},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42625701427459717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36377930641174316},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3602887988090515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22470688819885254},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1784910261631012},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.1354655623435974},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12809482216835022}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6204817295074463},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.543910801410675},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5361354947090149},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5230796933174133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4816914498806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42916348576545715},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42625701427459717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36377930641174316},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3602887988090515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22470688819885254},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1784910261631012},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.1354655623435974},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12809482216835022},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3404598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3404598","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":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G3692317134","display_name":null,"funder_award_id":"62201027","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W305043945","https://openalex.org/W1975454875","https://openalex.org/W1975660061","https://openalex.org/W1985194020","https://openalex.org/W2009637808","https://openalex.org/W2035419249","https://openalex.org/W2041241239","https://openalex.org/W2076729016","https://openalex.org/W2089256130","https://openalex.org/W2099551891","https://openalex.org/W2504799863","https://openalex.org/W2594466018","https://openalex.org/W2757313700","https://openalex.org/W2774427045","https://openalex.org/W2793189836","https://openalex.org/W2922891743","https://openalex.org/W2963177201","https://openalex.org/W2979688745","https://openalex.org/W3016230869","https://openalex.org/W3023434931","https://openalex.org/W3025900741","https://openalex.org/W3049121203","https://openalex.org/W3095296555","https://openalex.org/W3158064430","https://openalex.org/W3173462278","https://openalex.org/W3200421546","https://openalex.org/W4205652744","https://openalex.org/W4211056430","https://openalex.org/W4312669952","https://openalex.org/W4313460424","https://openalex.org/W4385226318","https://openalex.org/W4390780017","https://openalex.org/W4391235373","https://openalex.org/W4391830978","https://openalex.org/W6794731380","https://openalex.org/W6922338746"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W2085738998","https://openalex.org/W2095126257","https://openalex.org/W2031511989","https://openalex.org/W1537861260"],"abstract_inverted_index":{"Multi-temporal":[0],"PolSAR":[1,19,58,191],"data":[2],"captures":[3],"the":[4,43,50,67,74,82,96,100,103,106,118,123,127,131,156,166,172,199],"temporal":[5],"variations":[6],"in":[7,32,49,95,122,177],"polarization":[8,75],"parameters,":[9],"enabling":[10],"more":[11],"accurate":[12],"land":[13,47,124],"cover":[14,48,125],"classification.":[15],"Most":[16],"existing":[17],"multi-temporal":[18,57],"features":[20,192],"rely":[21],"on":[22,155,171],"comparing":[23,89],"only":[24],"two-time":[25],"points.":[26],"These":[27],"approaches":[28],"can":[29],"be":[30],"limited":[31],"capturing":[33],"cumulative":[34,44],"changes":[35,45,121],"over":[36],"a":[37,56,145,151],"longer":[38],"period.":[39,129],"To":[40],"better":[41,207],"represent":[42],"of":[46,71,105,120,159],"entire":[51],"time-series,":[52],"this":[53,141,149],"paper":[54],"proposes":[55],"feature,":[59],"namely":[60],"time":[61,83,97,107,111],"correlation":[62,84,108,112],"entropy.":[63],"We":[64,164],"first":[65],"extract":[66],"dominant":[68,91],"scattering":[69,92],"mechanism":[70,93],"targets":[72],"from":[73],"covariance":[76],"matrices":[77],"using":[78,185],"matrix":[79,85],"decomposition.":[80],"Then":[81],"is":[86,114,135,162],"constructed":[87],"by":[88],"all":[90],"pairs":[94],"series.":[98],"From":[99],"Shannon":[101],"entropy,":[102,113],"entropy":[104,133,142],"matrix,":[109],"i.e.,":[110],"derived":[115],"to":[116,138,144,189],"indicate":[117],"degree":[119],"during":[126],"observation":[128],"Finally,":[130],"maximum":[132],"principle":[134],"further":[136],"applied":[137],"prove":[139],"that":[140],"conforms":[143],"normal":[146],"distribution.":[147],"Following":[148],"corollary,":[150],"classification":[152,170,175,194],"method":[153,197],"based":[154],"interval":[157],"estimation":[158],"distribution":[160],"parameters":[161],"proposed.":[163],"evaluate":[165],"proposed":[167],"feature":[168],"and":[169,181,193,210],"salt":[173],"lake":[174],"application":[176],"Qarhan":[178],"Salt":[179,183],"Lake":[180,184],"Gasikule":[182],"Sentinel-1":[186],"images.":[187],"Compared":[188],"common":[190],"methods,":[195],"our":[196],"gains":[198],"best":[200],"results.":[201],"Besides,":[202],"its":[203],"results":[204],"also":[205],"have":[206],"regional":[208],"consistency":[209],"noise":[211],"resistance.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
