{"id":"https://openalex.org/W2152504573","doi":"https://doi.org/10.1109/igarss.2008.4779072","title":"Robust vegetation height Extraction using maximum likelihood estimation for Dual-baseline PolInSAR","display_name":"Robust vegetation height Extraction using maximum likelihood estimation for Dual-baseline PolInSAR","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2152504573","doi":"https://doi.org/10.1109/igarss.2008.4779072","mag":"2152504573"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 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/A5104240873","display_name":"Wei Shunjun","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shunjun","raw_affiliation_strings":["E. E. Department, University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"E. E. Department, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang Xiaoling","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Xiaoling","raw_affiliation_strings":["E. E. Department, University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"E. E. Department, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078458497","display_name":"Han Di","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Di","raw_affiliation_strings":["E. E. Department, University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"E. E. Department, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58865064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"II","last_page":"633"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9896000027656555,"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/T10535","display_name":"Landslides and related hazards","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6295573115348816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5814211964607239},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.5796804428100586},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5653828382492065},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.5306847095489502},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4735269546508789},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.4405771493911743},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4346827566623688},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4318715035915375},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.4295039176940918},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.42713743448257446},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4211253821849823},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3639022707939148},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.268247127532959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2064138948917389},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1751841902732849},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13289344310760498},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08880800008773804},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0757925808429718}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6295573115348816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5814211964607239},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.5796804428100586},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5653828382492065},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.5306847095489502},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4735269546508789},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.4405771493911743},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4346827566623688},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4318715035915375},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.4295039176940918},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.42713743448257446},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4211253821849823},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3639022707939148},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.268247127532959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2064138948917389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1751841902732849},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13289344310760498},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08880800008773804},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0757925808429718},{"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/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1992541517","https://openalex.org/W2008542193","https://openalex.org/W2044987471","https://openalex.org/W2097272115","https://openalex.org/W2108426499","https://openalex.org/W2118598748","https://openalex.org/W2147318644"],"related_works":["https://openalex.org/W4283792950","https://openalex.org/W2549425886","https://openalex.org/W2124460284","https://openalex.org/W2563483704","https://openalex.org/W3124370832","https://openalex.org/W3003801099","https://openalex.org/W2003667605","https://openalex.org/W62130100","https://openalex.org/W2886934452","https://openalex.org/W1489099099"],"abstract_inverted_index":{"Polarimetric":[0],"SAR":[1],"interferometry":[2],"technique":[3],"has":[4],"been":[5],"widely":[6],"used":[7,68],"for":[8,36,74],"parameters":[9,92],"extraction":[10],"of":[11,54,63,83,93,103,115],"the":[12,21,43,52,59,64,71,81,91,100,110,113,120],"earth's":[13],"surface":[14],"vegetation.":[15],"In":[16],"this":[17],"paper,":[18],"based":[19],"on":[20],"two":[22],"layers":[23],"Random":[24],"Volume":[25],"over":[26],"Ground":[27],"model,":[28],"we":[29],"present":[30],"a":[31],"vegetation":[32,72],"height":[33,73,116],"inversion":[34],"algorithm":[35,79,111],"dual-baseline":[37,75],"PolInSAR":[38,105],"data.":[39],"The":[40,77],"method":[41,88],"obtained":[42],"ground":[44,94],"and":[45],"volume":[46],"scattering":[47,95],"component":[48],"respectively":[49],"by":[50],"using":[51],"theory":[53],"Freeman":[55],"polarimetric":[56],"decomposition.":[57],"Then":[58],"maximum":[60,85],"likelihood":[61,86],"estimation":[62,87,117],"covariance":[65],"matrix":[66],"was":[67],"to":[69,96,119],"construct":[70],"PolInSAR.":[76],"proposed":[78],"overcomes":[80],"restriction":[82],"traditional":[84],"which":[89],"required":[90],"be":[97],"known.":[98],"Finally,":[99],"experimental":[101],"results":[102],"L-band":[104],"simulated":[106],"data":[107],"show":[108],"that":[109],"improves":[112],"effect":[114],"compare":[118],"coherence":[121],"method.":[122]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
