{"id":"https://openalex.org/W1992969120","doi":"https://doi.org/10.1109/tgrs.2013.2265413","title":"Information Content of Very High Resolution SAR Images: Study of Feature Extraction and Imaging Parameters","display_name":"Information Content of Very High Resolution SAR Images: Study of Feature Extraction and Imaging Parameters","publication_year":2013,"publication_date":"2013-07-05","ids":{"openalex":"https://openalex.org/W1992969120","doi":"https://doi.org/10.1109/tgrs.2013.2265413","mag":"1992969120"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2013.2265413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2265413","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/A5032852455","display_name":"Corneliu Octavian Dumitru","orcid":"https://orcid.org/0000-0001-5707-1799"},"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":true,"raw_author_name":"Corneliu Octavian Dumitru","raw_affiliation_strings":["Earth Observation Center, German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany","Earth Obs. Center, German Aerosp. Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Earth Observation Center, German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Earth Obs. Center, German Aerosp. Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032370631","display_name":"Mihai Datcu","orcid":"https://orcid.org/0000-0002-3477-9687"},"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":"Mihai Datcu","raw_affiliation_strings":["Earth Observation Center, German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany","Earth Obs. Center, German Aerosp. Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Earth Observation Center, German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Earth Obs. Center, German Aerosp. Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032852455"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":7.7423,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.97697653,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"51","issue":"8","first_page":"4591","last_page":"4610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.991599977016449,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6486741304397583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5913591384887695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5543856620788574},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.4526124894618988},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4374571144580841},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4351545572280884},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4319969415664673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39502570033073425},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34708550572395325},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14815521240234375}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6486741304397583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913591384887695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5543856620788574},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.4526124894618988},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4374571144580841},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4351545572280884},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4319969415664673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39502570033073425},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34708550572395325},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14815521240234375}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2013.2265413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2265413","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"},{"id":"pmh:oai:elib.dlr.de:83109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TGRS.2013.2265413>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.6621","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.6621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.thinkmind.org/download.php?articleid%3Dtele_v5_n34_2012_12","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1536340909","https://openalex.org/W1586359073","https://openalex.org/W1825190116","https://openalex.org/W1987068357","https://openalex.org/W2000014710","https://openalex.org/W2018880432","https://openalex.org/W2030061129","https://openalex.org/W2044465660","https://openalex.org/W2096414825","https://openalex.org/W2098738957","https://openalex.org/W2115143036","https://openalex.org/W2123104995","https://openalex.org/W2125148312","https://openalex.org/W2128741405","https://openalex.org/W2139325798","https://openalex.org/W2146769410","https://openalex.org/W2153635508","https://openalex.org/W2262813089","https://openalex.org/W2550009779","https://openalex.org/W6634990715","https://openalex.org/W6647159560","https://openalex.org/W6692835125","https://openalex.org/W6729975054"],"related_works":["https://openalex.org/W2051197289","https://openalex.org/W2028628118","https://openalex.org/W2776398399","https://openalex.org/W3013515612","https://openalex.org/W2004982469","https://openalex.org/W2136184105","https://openalex.org/W1964120219","https://openalex.org/W3173596272","https://openalex.org/W2336974148","https://openalex.org/W2345184372"],"abstract_inverted_index":{"In":[0,40,97],"this":[1,45,102,248,294,318],"paper,":[2],"we":[3,107],"propose":[4],"to":[5,165,371,442,448],"study":[6],"the":[7,22,35,41,50,57,69,78,82,98,109,112,115,122,125,147,150,154,163,170,175,200,211,214,227,234,237,239,251,258,278,281,284,297,300,321,324,327,336,350,353,363,366,391,394,430,433,437,443,449,453],"dependence":[8,325],"of":[9,44,64,71,101,111,143,162,169,203,210,216,236,247,253,263,267,280,317,323,335,340,352,375,393,404,423,432,452],"information":[10],"extraction":[11],"technique":[12],"performance":[13],"on":[14,31,174,277,326,368,383,390],"synthetic":[15],"aperture":[16],"radar":[17],"(SAR)":[18],"imaging":[19],"parameters":[20,219,392,428],"and":[21,34,61,66,92,118,190,193,206,224,265,304,332,399,407],"selected":[23],"primitive":[24],"features":[25,273],"(PFs).":[26],"The":[27,180,244,313,402],"evaluation":[28,215,252,322,341,351],"is":[29,37,132,230,242,250,320,410,440],"done":[30],"TerraSAR-X":[32,59,79],"data,":[33],"interpretation":[36],"realized":[38],"automatically.":[39],"first":[42,245,285],"part":[43,100],"paper":[46,103,249,319],"(use":[47,104],"case":[48,105],"I),":[49],"following":[51],"issues":[52],"are":[53,183,194,274],"analyzed:":[54],"1)":[55],"finding":[56],"optimal":[58,354],"products":[60,113],"their":[62],"limits":[63],"variability":[65,422],"2)":[67],"retrieving":[68],"number":[70],"categories/classes":[72],"that":[73,128,365,418],"can":[74],"be":[75],"extracted":[76],"from":[77,158],"images":[80],"using":[81,129,135],"PFs":[83,255],"(gray-level":[84],"co-occurrence":[85],"matrix,":[86],"Gabor":[87],"filters,":[88,91],"quadrature":[89],"mirror":[90],"nonlinear":[93],"short-time":[94],"Fourier":[95],"transform).":[96],"second":[99,314],"II),":[106],"investigate":[108],"invariance":[110],"with":[114,138,178,362],"orbit":[116,222,330,405],"direction":[117],"incidence":[119,155,164,171,225,333,408,438],"angle.":[120],"On":[121,146],"one":[123,376],"hand,":[124,149],"results":[126],"show":[127],"ascending":[130],"looking":[131,137,406],"better":[133],"than":[134],"descending":[136],"an":[139,166],"average":[140],"accuracy":[141,152,235,279,431],"increase":[142],"7%-8%,":[144],"approximately.":[145],"other":[148],"classification":[151,434],"for":[153,260,269,283,287,293,310,413],"angle":[156,172,334,409,439],"varies":[157],"a":[159,288,305,373,420],"lower":[160,444],"value":[161,168],"upper":[167,450],"(depending":[173],"sensor":[176,455],"range)":[177],"4%-5%.":[179],"test":[181],"sites":[182],"Venice":[184],"(Italy),":[185],"Toulouse":[186],"(France),":[187],"Berlin":[188],"(Germany),":[189],"Ottawa":[191],"(Canada)":[192],"covering":[195],"as":[196,198,397],"much":[197],"possible":[199],"huge":[201],"diversity":[202],"modes,":[204],"types,":[205],"geometric":[207],"resolution":[208,398],"configuration":[209],"TerraSAR-X.":[212,337],"For":[213,349],"all":[217,299],"these":[218,268,424],"(resolution,":[220],"features,":[221],"looking,":[223],"angle),":[226],"support-vector-machine":[228],"classifier":[229],"considered.":[231],"To":[232],"evaluate":[233],"classification,":[238],"precision/recall":[240],"metric":[241],"calculated.":[243],"contribution":[246,316],"different":[254,261,357],"(proposed":[256],"in":[257],"literature":[259],"types":[262],"images)":[264],"adaptation":[266],"SAR":[270],"images.":[271],"These":[272,427],"compared":[275],"(based":[276],"classification)":[282],"time":[286],"multiresolution":[289],"pyramid":[290],"specially":[291],"built":[292],"purpose.":[295],"During":[296],"evaluation,":[298],"classes":[301],"were":[302,360],"annotated,":[303],"semantic":[306],"meaning":[307],"was":[308],"defined":[309],"each":[311],"class.":[312],"main":[315],"patch":[328,358,386],"size,":[329],"direction,":[331],"This":[338,385],"type":[339],"has":[342,419],"not":[343],"been":[344],"systematically":[345],"investigated":[346],"so":[347],"far.":[348],"patch,":[355],"two":[356,425],"sizes":[359],"defined,":[361],"constrained":[364],"size":[367,387],"ground":[369],"needs":[370],"cover":[372],"minimum":[374],"object":[377],"(e.g.,":[378,435],"200":[379,381],"\u00d7":[380],"m":[382],"ground).":[384],"depends":[388],"also":[389],"data":[395,416],"such":[396],"pixel":[400],"spacing.":[401],"investigation":[403],"very":[411],"important":[412],"indexing":[414],"large":[415],"sets":[417],"higher":[421],"parameters.":[426],"influence":[429],"if":[436],"closer":[441,447],"bounds":[445],"or":[446],"bound":[451],"satellite":[454],"range).":[456]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
