{"id":"https://openalex.org/W2130011430","doi":"https://doi.org/10.1109/igarss.2011.6049386","title":"A polarimetric temporal scene parameter and its application to change detection","display_name":"A polarimetric temporal scene parameter and its application to change detection","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2130011430","doi":"https://doi.org/10.1109/igarss.2011.6049386","mag":"2130011430"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6049386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","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/A5003388985","display_name":"Esra Erten","orcid":"https://orcid.org/0000-0002-4208-7170"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Esra Erten","raw_affiliation_strings":["Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010880842","display_name":"Olga Chesnokova","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Olga Chesnokova","raw_affiliation_strings":["Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002521229","display_name":"Cristian Rossi","orcid":"https://orcid.org/0000-0002-3277-2182"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cristian Rossi","raw_affiliation_strings":["German AeroSpace Center, Remote Sensing Technology Institute, Oberpfaffenhofen, Germany"],"affiliations":[{"raw_affiliation_string":"German AeroSpace Center, Remote Sensing Technology Institute, Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053177233","display_name":"Irena Hajnsek","orcid":"https://orcid.org/0000-0002-0926-3283"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["CH","DE"],"is_corresponding":false,"raw_author_name":"Irena Hajnsek","raw_affiliation_strings":["German AeroSpace Center, Microwaves and Radar Institute, Oberpfaffenhofen, Germany","Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"German AeroSpace Center, Microwaves and Radar Institute, Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003388985"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":4.2795,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93737651,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1091","last_page":"1094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/divergence","display_name":"Divergence (linguistics)","score":0.8012385368347168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6731574535369873},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.6680052280426025},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6398564577102661},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5697486400604248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5555611848831177},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.5296953320503235},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5029119849205017},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4593598544597626},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.4477331042289734},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4411345422267914},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4363769292831421},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.42998138070106506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4226149320602417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3598458170890808},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.3274903893470764},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2936129570007324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1676684319972992},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13451844453811646},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.11917787790298462},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09957855939865112},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09142178297042847},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08738067746162415},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06597623229026794}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.8012385368347168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731574535369873},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.6680052280426025},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6398564577102661},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5697486400604248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5555611848831177},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.5296953320503235},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5029119849205017},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4593598544597626},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.4477331042289734},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4411345422267914},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4363769292831421},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.42998138070106506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4226149320602417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3598458170890808},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3274903893470764},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2936129570007324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1676684319972992},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13451844453811646},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.11917787790298462},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09957855939865112},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09142178297042847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08738067746162415},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06597623229026794},{"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:10.1109/igarss.2011.6049386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1421632428","https://openalex.org/W1974637548","https://openalex.org/W2025371503","https://openalex.org/W2121348175","https://openalex.org/W2126176832","https://openalex.org/W2126895410","https://openalex.org/W2159983350","https://openalex.org/W2161180723","https://openalex.org/W4237764598","https://openalex.org/W6683920631"],"related_works":["https://openalex.org/W2146312983","https://openalex.org/W2389605595","https://openalex.org/W1980855913","https://openalex.org/W1586339758","https://openalex.org/W3131856045","https://openalex.org/W2364482911","https://openalex.org/W2078787338","https://openalex.org/W2116891586","https://openalex.org/W2065601395","https://openalex.org/W2123581770"],"abstract_inverted_index":{"The":[0,128],"contribution":[1],"of":[2,16,43,54,100],"Polarimetric":[3],"Synthetic":[4],"Aperture":[5],"Radar":[6],"(PolSAR)":[7],"images":[8,79],"compared":[9],"with":[10],"the":[11,30,52,88],"single-channel":[12],"SAR":[13,63,78,126],"in":[14,29,56,66,85,139],"terms":[15],"temporal":[17,60,76,123],"scene":[18],"characterization":[19],"has":[20,71],"been":[21,73],"found":[22],"and":[23,109,137],"described":[24],"to":[25,117,134],"add":[26],"valuable":[27],"information":[28,55],"literature.":[31],"In":[32],"this":[33,67],"paper,":[34],"a":[35],"new":[36,129],"PolSAR":[37],"change":[38],"detector":[39],"which":[40],"makes":[41],"use":[42],"Kullback-Leibler":[44,48],"divergence":[45,49],"is":[46,91,114],"described.":[47],"(KL-divergence)":[50],"measures":[51],"amount":[53],"common":[57],"between":[58],"coherent":[59],"multi-channel":[61],"polarimetric":[62,77],"acquisitions.":[64],"Although":[65],"paper":[68],"KL-divergence":[69,112],"measure":[70,113],"analytically":[72],"derived":[74],"for":[75,122],"based":[80],"on":[81],"complex":[82],"Wishart":[83],"process":[84],"time,":[86],"since":[87],"mathematical":[89],"formulation":[90],"general,":[92],"it":[93],"can":[94],"be":[95,135],"implemented":[96],"into":[97],"any":[98],"kind":[99],"multivariate":[101],"remote":[102],"sensing":[103],"data":[104],"such":[105],"as":[106],"multi-spectral":[107],"optical":[108],"interferometric":[110],"images.":[111,127],"also":[115],"simplified":[116],"give":[118],"an":[119],"explicit":[120],"expressions":[121],"single":[124],"channel":[125],"results":[130],"are":[131],"simple,":[132],"easy":[133],"used,":[136],"superior":[138],"providing":[140],"detailed":[141],"structure.":[142]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
