{"id":"https://openalex.org/W2911158653","doi":"https://doi.org/10.1109/tgrs.2018.2888891","title":"Adaptive Superpixel Generation for SAR Images With Linear Feature Clustering and Edge Constraint","display_name":"Adaptive Superpixel Generation for SAR Images With Linear Feature Clustering and Edge Constraint","publication_year":2019,"publication_date":"2019-01-14","ids":{"openalex":"https://openalex.org/W2911158653","doi":"https://doi.org/10.1109/tgrs.2018.2888891","mag":"2911158653"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2888891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2888891","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/A5023203007","display_name":"Deliang Xiang","orcid":"https://orcid.org/0000-0003-0152-6621"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deliang Xiang","raw_affiliation_strings":["National Innovation Institute of Defense Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0152-6621","affiliations":[{"raw_affiliation_string":"National Innovation Institute of Defense Technology, Beijing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084996912","display_name":"Tao Tang","orcid":"https://orcid.org/0000-0002-9071-137X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Tang","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9071-137X","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032417105","display_name":"Sinong Quan","orcid":"https://orcid.org/0000-0002-6908-1975"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sinong Quan","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6908-1975","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007685826","display_name":"Dongdong Guan","orcid":"https://orcid.org/0000-0001-5025-8200"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Guan","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5025-8200","affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004835193","display_name":"Yi Su","orcid":"https://orcid.org/0000-0002-1946-8063"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Su","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.8858,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.888058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"57","issue":"6","first_page":"3873","last_page":"3889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6910135746002197},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6572639346122742},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6161279678344727},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5260336995124817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5150792002677917},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4969389736652374},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4487636089324951},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.447405606508255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44070667028427124},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42931488156318665},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.41040849685668945},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.41026633977890015},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.37912717461586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3786105513572693}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6910135746002197},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6572639346122742},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6161279678344727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5260336995124817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5150792002677917},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4969389736652374},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4487636089324951},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.447405606508255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44070667028427124},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42931488156318665},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41040849685668945},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.41026633977890015},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.37912717461586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3786105513572693},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2888891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2888891","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3345753943","display_name":null,"funder_award_id":"61701508","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6148933700","display_name":null,"funder_award_id":"41801236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8091060295","display_name":null,"funder_award_id":"2017JJ2304","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1421632428","https://openalex.org/W1551002609","https://openalex.org/W1599474586","https://openalex.org/W1938929646","https://openalex.org/W1997697154","https://openalex.org/W2002466026","https://openalex.org/W2026718660","https://openalex.org/W2038563371","https://openalex.org/W2043510437","https://openalex.org/W2064286937","https://openalex.org/W2067191022","https://openalex.org/W2071521005","https://openalex.org/W2073842936","https://openalex.org/W2089391573","https://openalex.org/W2091823356","https://openalex.org/W2095595743","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121947440","https://openalex.org/W2135431554","https://openalex.org/W2135957668","https://openalex.org/W2138106400","https://openalex.org/W2142572935","https://openalex.org/W2144494233","https://openalex.org/W2163808566","https://openalex.org/W2164911019","https://openalex.org/W2244269349","https://openalex.org/W2291071080","https://openalex.org/W2328148566","https://openalex.org/W2345852998","https://openalex.org/W2489207792","https://openalex.org/W2568759830","https://openalex.org/W2573546209","https://openalex.org/W2587329506","https://openalex.org/W2588704026","https://openalex.org/W2593936530","https://openalex.org/W2623004180","https://openalex.org/W2765890824","https://openalex.org/W2766440712","https://openalex.org/W4300293005","https://openalex.org/W6640464587"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2016481886"],"abstract_inverted_index":{"Due":[0],"to":[1,17,100,103,109,124,225,248,259],"the":[2,39,71,111,120,126,155,166,179,184,195,211,215,219,228,232,241,249,253,261,264,272,281,299,313],"speckle":[3,104],"noise":[4],"and":[5,31,56,96,130,158,191,235,244,276,308],"complex":[6],"geometric":[7],"distortions":[8],"within":[9],"SAR":[10,80,93,134,310],"images,":[11,64],"it":[12],"is":[13,82,145,223,256],"still":[14],"a":[15,19,137,148,170],"challenge":[16],"develop":[18],"stable":[20],"method":[21,287],"that":[22,151],"can":[23,193],"produce":[24],"superpixels":[25,291],"with":[26,34,52,115,292,306],"both":[27,154],"high":[28,267],"boundary":[29,268,294],"adherence":[30,295],"visual":[32],"compactness":[33],"low":[35],"computational":[36],"costs":[37],"at":[38],"same":[40,196],"time.":[41],"In":[42,161],"this":[43,162,205],"paper,":[44],"we":[45,107,164],"propose":[46,108],"an":[47],"adaptive":[48],"superpixel":[49,142,242],"generation":[50,143],"approach":[51],"linear":[53,216],"feature":[54,156,206,217,233],"clustering":[55,262,275],"edge":[57,113,127,254,284],"constraint":[58],"for":[59,92,133,263],"synthetic":[60],"aperture":[61],"radar":[62],"(SAR)":[63],"which":[65,86,208,238,319],"consists":[66],"of":[67,76,119,187,221,266,283,315],"three":[68],"stages.":[69],"First,":[70],"local":[72,189,273],"gradient":[73],"ratio":[74],"pattern":[75],"each":[77,202],"pixel":[78],"in":[79,204],"imagery":[81],"extracted":[83],"as":[84,278,280],"features,":[85],"was":[87],"previously":[88],"proposed":[89,317],"by":[90,199],"us":[91],"target":[94],"recognition":[95],"has":[97],"been":[98],"proven":[99],"be":[101],"insensitive":[102],"noise.":[105],"Second,":[106],"use":[110],"feature-ratio-based":[112],"detector":[114],"Gauss-shaped":[116],"window":[117,123],"instead":[118],"traditional":[121,180],"rectangle-shaped":[122],"obtain":[125],"strength":[128],"map":[129],"final":[131],"edges":[132],"images.":[135],"Finally,":[136],"modified":[138],"normalized":[139],"cut":[140],"(Ncut)-based":[141],"strategy":[144],"adopted":[146],"using":[147,178],"distance":[149],"metric":[150],"simultaneously":[152],"measures":[153],"similarity":[157,167,234],"space":[159,236],"proximity.":[160],"strategy,":[163],"approximate":[165],"measure":[168],"through":[169],"positive":[171],"semidefinite":[172],"kernel":[173],"function":[174],"rather":[175],"than":[176,322],"directly":[177],"eigen-based":[181],"algorithm.":[182],"Therefore,":[183],"objective":[185],"functions":[186],"weighted":[188],"K-means":[190,274],"Ncuts":[192],"achieve":[194],"optimum":[197],"point":[198,203],"appropriately":[200],"weighting":[201],"space,":[207],"greatly":[209],"reduces":[210],"computation":[212],"cost.":[213],"During":[214],"clustering,":[218],"coefficient":[220],"variation":[222],"used":[224],"automatically":[226],"determine":[227],"tradeoff":[229],"factor":[230],"between":[231],"proximity,":[237],"helps":[239],"change":[240],"shape":[243],"size":[245],"adaptively":[246],"according":[247],"image":[250,301],"homogeneity.":[251],"Furthermore,":[252],"information":[255],"also":[257,297],"introduced":[258],"constrain":[260],"sake":[265],"adherence.":[269],"By":[270],"bridging":[271],"Ncuts,":[277],"well":[279],"benefits":[282],"constraint,":[285],"our":[286,316],"not":[288],"only":[289],"produces":[290],"good":[293],"but":[296],"captures":[298],"global":[300],"structure":[302],"information.":[303],"Experimental":[304],"results":[305],"simulated":[307],"real":[309],"images":[311],"demonstrate":[312],"effectiveness":[314],"method,":[318],"performs":[320],"better":[321],"other":[323],"state-of-the-art":[324],"algorithms.":[325]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}