{"id":"https://openalex.org/W2006162762","doi":"https://doi.org/10.1109/tgrs.2012.2230892","title":"SAR Image Categorization With Log Cumulants of the Fractional Fourier Transform Coefficients","display_name":"SAR Image Categorization With Log Cumulants of the Fractional Fourier Transform Coefficients","publication_year":2013,"publication_date":"2013-01-29","ids":{"openalex":"https://openalex.org/W2006162762","doi":"https://doi.org/10.1109/tgrs.2012.2230892","mag":"2006162762"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2012.2230892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2230892","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/A5113506719","display_name":"Jagmal Singh","orcid":"https://orcid.org/0000-0002-3103-4698"},"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":"Jagmal Singh","raw_affiliation_strings":["Remote Sensing Technology Institute(IMF), German Aerospace Center (DLR), Wessling, Germany","Remote Sensing Technol. Inst. (IMF), German Aerosp. Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute(IMF), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Remote Sensing Technol. Inst. (IMF), 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":["Remote Sensing Technology Institute(IMF), German Aerospace Center (DLR), Wessling, Germany","Remote Sensing Technol. Inst. (IMF), German Aerosp. Center (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute(IMF), German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Remote Sensing Technol. Inst. (IMF), 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/A5113506719"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":6.0742,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96870012,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"51","issue":"12","first_page":"5273","last_page":"5282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962999820709229,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962999820709229,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9846000075340271,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6780224442481995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6271460652351379},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6222156882286072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5697086453437805},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49369367957115173},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4879171550273895},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.48758381605148315},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.48208314180374146},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45711731910705566},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4406076967716217},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.4147638976573944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3345261812210083},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.31209683418273926},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.2836829423904419},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2029878795146942},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.19323793053627014}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6780224442481995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6271460652351379},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6222156882286072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5697086453437805},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49369367957115173},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4879171550273895},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.48758381605148315},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.48208314180374146},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45711731910705566},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4406076967716217},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.4147638976573944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3345261812210083},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.31209683418273926},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.2836829423904419},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2029878795146942},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.19323793053627014},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2012.2230892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2230892","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:83106","is_oa":false,"landing_page_url":"https://elib.dlr.de/83106/","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Zeitschriftenbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2005969395","https://openalex.org/W2018880432","https://openalex.org/W2039426204","https://openalex.org/W2046245205","https://openalex.org/W2051207858","https://openalex.org/W2057085895","https://openalex.org/W2078938486","https://openalex.org/W2098738957","https://openalex.org/W2104673234","https://openalex.org/W2105847589","https://openalex.org/W2108710836","https://openalex.org/W2110063971","https://openalex.org/W2116375409","https://openalex.org/W2122314989","https://openalex.org/W2125148312","https://openalex.org/W2126226587","https://openalex.org/W2127769464","https://openalex.org/W2130660124","https://openalex.org/W2131339961","https://openalex.org/W2131427747","https://openalex.org/W2136106070","https://openalex.org/W2136623223","https://openalex.org/W2142500924","https://openalex.org/W2144836256","https://openalex.org/W2145576488","https://openalex.org/W2158242013","https://openalex.org/W2163534628","https://openalex.org/W2164453045","https://openalex.org/W2164809340","https://openalex.org/W2165878107","https://openalex.org/W2257839358","https://openalex.org/W4285719527","https://openalex.org/W6692516042"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2015799095","https://openalex.org/W2075847476","https://openalex.org/W2112228652","https://openalex.org/W1994788526","https://openalex.org/W1915418828","https://openalex.org/W2613451563","https://openalex.org/W1966299760"],"abstract_inverted_index":{"With":[0],"the":[1,27,38,48,51,69,76,103,107,112,115,124,129,169,172,179,185,203,208,221],"advent":[2],"of":[3,40,50,71,111,123,171,181,207,216,230],"high-resolution":[4],"(HR)":[5],"synthetic":[6],"aperture":[7],"radar":[8],"(SAR)":[9],"images":[10,193],"from":[11,241],"satellites":[12],"like":[13],"TerraSAR-X":[14,244],"and":[15,162,223],"TanDEM-X,":[16],"interest":[17],"is":[18,137,188],"now":[19],"on":[20,114,120,178],"patch-oriented":[21],"image":[22,35,52,118,176,232],"categorization":[23,36,177],"in":[24,30,63,97,202],"contrast":[25],"to":[26,139],"pixel-based":[28],"classification":[29],"low-resolution":[31],"SAR":[32,34,64,91,95,117],"images.":[33,92],"requires":[37],"generation":[39],"a":[41,60,72,83,94,132,148,155,163,195],"compact":[42,84],"feature":[43,85],"descriptor":[44,86,165],"that":[45,136],"accurately":[46],"defines":[47],"content":[49],"patch":[53],"under":[54],"consideration.":[55],"As":[56],"phase":[57],"information":[58],"plays":[59],"critical":[61],"role":[62],"images,":[65],"this":[66],"paper":[67,199],"proposes":[68],"use":[70],"chirplet-derived":[73],"transform,":[74],"i.e.,":[75,151],"fractional":[77],"Fourier":[78],"transform":[79],"(FrFT),":[80],"for":[81,87,175,192,205,219],"generating":[82],"single-look":[88],"complex":[89],"(SLC)":[90],"Representing":[93],"signal":[96],"rotated":[98],"joint":[99,125],"time-frequency":[100,126],"planes":[101,122],"via":[102],"FrFT":[104,130],"allows":[105],"discovering":[106],"underlying":[108],"backscattering":[109,182],"phenomenon":[110],"objects":[113],"ground.":[116],"projections":[119],"different":[121],"space":[127],"using":[128,212],"provide":[131],"simple":[133],"statistical":[134],"response":[135],"easier":[138],"analyze.":[140],"The":[141,226],"proposed":[142],"method":[143,157,174,187],"has":[144],"been":[145],"compared":[146],"with":[147,194],"multiscale":[149],"approach,":[150],"Gabor":[152],"filter":[153],"banks,":[154],"second-order-statistics-based":[156],"(as":[158],"gray-level":[159],"co-occurrence":[160],"matrices),":[161],"spectral":[164],"method.":[166],"We":[167],"demonstrate":[168],"suitability":[170],"FrFT-based":[173,222],"basis":[180],"behavior,":[183],"whereas":[184],"Gabor-filter-bank-based":[186,224],"found":[189],"mainly":[190],"suitable":[191],"strong":[196],"texture.":[197],"This":[198],"demonstrates":[200],"enhancement":[201],"separability":[204],"most":[206],"considered":[209],"categories":[210],"when":[211],"logarithmic":[213],"cumulants":[214],"instead":[215],"linear":[217],"moments":[218],"both":[220],"methods.":[225],"experimental":[227],"database":[228],"consists":[229],"2000":[231],"patches":[233],"(of":[234],"size":[235],"200":[236,238],"\u00d7":[237],"pixels)":[239],"extracted":[240],"SLC":[242],"HR":[243],"scenes.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}