{"id":"https://openalex.org/W2103502541","doi":"https://doi.org/10.1109/igarss.2003.1294823","title":"Forest biomass inversion from SAR using object oriented image analysis techniques","display_name":"Forest biomass inversion from SAR using object oriented image analysis techniques","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W2103502541","doi":"https://doi.org/10.1109/igarss.2003.1294823","mag":"2103502541"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2003.1294823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1294823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048461125","display_name":"Josef Kellndorfer","orcid":"https://orcid.org/0000-0002-7666-2444"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.M. Kellndorfer","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046704757","display_name":"F.T. Ulaby","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F.T. Ulaby","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI","Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":4.9574,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94846626,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"3465","last_page":"3467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9901000261306763,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6960317492485046},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5670813322067261},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5540117025375366},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5385243892669678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4606786370277405},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4314768314361572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38347670435905457},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3426029086112976},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2876102924346924},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.20482468605041504}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6960317492485046},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5670813322067261},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5540117025375366},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5385243892669678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4606786370277405},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4314768314361572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38347670435905457},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3426029086112976},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2876102924346924},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.20482468605041504},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2003.1294823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1294823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2102669194","https://openalex.org/W2108133558","https://openalex.org/W2124066763","https://openalex.org/W2158630127","https://openalex.org/W6675598122"],"related_works":["https://openalex.org/W4252699458","https://openalex.org/W2545123933","https://openalex.org/W1522196789","https://openalex.org/W2585813813","https://openalex.org/W3110962985","https://openalex.org/W2042726296","https://openalex.org/W2081203575","https://openalex.org/W3016428515","https://openalex.org/W2096748030","https://openalex.org/W2160730947"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,39,44,140],"object":[3,244],"oriented":[4],"image":[5,85,95,162,179,208,243,262],"classification":[6],"provide":[7],"possibilities":[8],"to":[9,22,72,83,113,116,122,261],"investigate":[10],"new":[11],"approaches":[12],"for":[13,16,75,220],"inversion":[14],"techniques":[15],"synthetic":[17],"aperture":[18],"radar":[19],"(SAR)":[20],"images":[21],"derive":[23],"bio-/geophysical":[24],"parameters,":[25],"like":[26],"forest":[27,64],"biomass.":[28],"A":[29,169],"study":[30],"was":[31,81,88,130,198],"performed":[32],"on":[33,253],"ERS":[34,133],"and":[35,105,134,242],"JERS":[36,135],"SAR":[37,110,271],"data":[38,47,59,111,136,204,241,257],"the":[40,91,109,118,141,148,156,160,166,172,178,202,207,212,221,227,236,270],"Raco":[41],"test":[42,151,167,175],"site":[43],"Michigan.":[45],"Both":[46],"sets":[48],"were":[49,60,137,153,216,233],"acquired":[50],"within":[51],"10":[52],"days":[53],"during":[54],"summer":[55],"1992.":[56],"Ground":[57],"reference":[58],"available":[61],"from":[62,69,266],"80":[63],"stands":[65,74,152,176,183],"with":[66,101,155,177,188,235,239],"biomass":[67,197,237],"ranges":[68],"early":[70],"regrowth":[71],"mature":[73],"various":[76],"pine":[77],"species.":[78],"Ecognition":[79],"software":[80,92],"used":[82,138],"perform":[84],"segmentation.":[86],"It":[87],"found":[89,131],"that":[90,248],"generated":[93],"excellent":[94],"objects":[96,163,180,209,263],"which":[97,164,250,264],"correlate":[98],"spatially":[99],"well":[100],"existing":[102],"stand":[103,203,222,240,256],"boundaries":[104],"ecological":[106],"units.":[107],"However,":[108],"needed":[112],"be":[114,259],"pre-filtered":[115],"reduce":[117],"influence":[119],"of":[120,147,159,171,192,196,269],"speckle":[121],"achieve":[123],"better":[124],"segmentation":[125,129,142,268],"results.":[126],"Also,":[127],"improved":[128],"when":[132],"jointly":[139],"process.":[143],"Mean":[144],"backscatter":[145,158],"values":[146,215],"4":[149,173],"hectare":[150],"compared":[154,200],"mean":[157],"larger":[161],"contain":[165],"stands.":[168],"comparison":[170],"ha":[174],"containing":[181],"these":[182],"showed":[184],"a":[185],"signal":[186],"correlation":[187],"an":[189],"r/sup":[190,213],"2/":[191,214],"0.89.":[193],"The":[194],"derivation":[195],"then":[199],"using":[201],"only":[205],"or":[206],"only.":[210],"While":[211],"about":[217],"0.1":[218],"higher":[219],"derived":[223],"regression":[224,238],"equations,":[225],"virtually":[226],"same":[228],"model":[229],"coefficients":[230],"(slope,":[231],"intercept)":[232],"achived":[234],"data.":[245,272],"This":[246],"shows,":[247],"models":[249],"are":[251],"developed":[252],"carefully":[254],"selected":[255],"can":[258],"transferred":[260],"resulted":[265],"prior":[267]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
