{"id":"https://openalex.org/W4310002276","doi":"https://doi.org/10.1142/s0218001422520279","title":"Automated SAR Image Segmentation and Classification Using Modified Deep Learning","display_name":"Automated SAR Image Segmentation and Classification Using Modified Deep Learning","publication_year":2022,"publication_date":"2022-11-27","ids":{"openalex":"https://openalex.org/W4310002276","doi":"https://doi.org/10.1142/s0218001422520279"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422520279","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422520279","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5036916560","display_name":"G. Srinitya","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"G. Srinitya","raw_affiliation_strings":["Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam 638401, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam 638401, Tamil Nadu, India","institution_ids":["https://openalex.org/I43814544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044021938","display_name":"D. Sharmila","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133257","display_name":"KPR Institute of Engineering and Technology","ror":"https://ror.org/02q9f3a53","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210133257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Sharmila","raw_affiliation_strings":["Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore 641407, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore 641407, Tamil Nadu, India","institution_ids":["https://openalex.org/I4210133257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005706383","display_name":"S. Logeswari","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Logeswari","raw_affiliation_strings":["Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam 638401, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam 638401, Tamil Nadu, India","institution_ids":["https://openalex.org/I43814544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014399075","display_name":"Daniel Madan Raja S","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Daniel Madan Raja","raw_affiliation_strings":["Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam 638401, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam 638401, Tamil Nadu, India","institution_ids":["https://openalex.org/I43814544"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036916560"],"corresponding_institution_ids":["https://openalex.org/I43814544"],"apc_list":null,"apc_paid":null,"fwci":1.5394,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85703761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"37","issue":"01","first_page":null,"last_page":null},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9991000294685364,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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":0.783421516418457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7461621165275574},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6411591172218323},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6236992478370667},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.613937258720398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5865697860717773},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5791537761688232},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5415189266204834},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5382907390594482},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5359436273574829},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4842112064361572},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4776391088962555},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4431459307670593},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40347182750701904},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3779500126838684},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.33657294511795044},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22241288423538208}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.783421516418457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461621165275574},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6411591172218323},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6236992478370667},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.613937258720398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5865697860717773},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5791537761688232},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5415189266204834},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5382907390594482},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5359436273574829},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4842112064361572},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4776391088962555},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4431459307670593},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40347182750701904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3779500126838684},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.33657294511795044},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22241288423538208},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422520279","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422520279","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1839137930","https://openalex.org/W1901129140","https://openalex.org/W1979968728","https://openalex.org/W1980648316","https://openalex.org/W2002466026","https://openalex.org/W2019410816","https://openalex.org/W2042844016","https://openalex.org/W2064286937","https://openalex.org/W2073842936","https://openalex.org/W2121571815","https://openalex.org/W2133989913","https://openalex.org/W2140086126","https://openalex.org/W2141424348","https://openalex.org/W2162154046","https://openalex.org/W2164453045","https://openalex.org/W2164911019","https://openalex.org/W2249673160","https://openalex.org/W2523566712","https://openalex.org/W2617083732","https://openalex.org/W2760340275","https://openalex.org/W2788251864","https://openalex.org/W2791528291","https://openalex.org/W2804230435","https://openalex.org/W2804306017","https://openalex.org/W2886493749","https://openalex.org/W2907088929","https://openalex.org/W2945622591","https://openalex.org/W2976971678","https://openalex.org/W3007772668","https://openalex.org/W3010313455","https://openalex.org/W3025189310","https://openalex.org/W3025405133","https://openalex.org/W3046165398","https://openalex.org/W3118398352","https://openalex.org/W3175980437","https://openalex.org/W4226389728"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W2055824452","https://openalex.org/W1989852278"],"abstract_inverted_index":{"Synthetic":[0],"Aperture":[1],"Radar":[2],"(SAR)":[3],"represents":[4],"a":[5,26,75,114,118,252],"type":[6],"of":[7,25,64,77,85,108,135,159,230,254,263],"active":[8],"remote":[9],"sensing":[10],"technology":[11],"that":[12,258],"uses":[13],"microwave":[14],"electromagnetic":[15],"radiation":[16],"to":[17,22,55,69,112,131,168,203],"produce":[18],"and":[19,60,79,125,220,235,268],"send":[20],"data":[21],"the":[23,96,102,132,136,147,157,160,170,173,179,182,185,196,204,215,222,228,242],"surface":[24],"target":[27],"location.":[28],"SAR":[29,71,122],"imaging":[30],"is":[31,40,111,162,176,193,225,261],"frequently":[32],"used":[33,177],"in":[34,143],"national":[35],"security":[36],"applications":[37],"since":[38],"it":[39,80],"unaffected":[41],"by":[42,101,164,227],"weather,":[43],"geographical":[44],"location,":[45],"or":[46],"time.":[47],"In":[48,217],"this":[49,109],"system,":[50],"many":[51],"approaches":[52],"are":[53,201,249],"examined,":[54],"improve":[56],"automation":[57],"for":[58,88,121,178,214],"segmentation":[59,124,219],"classification.":[61,216],"The":[62,105],"utilization":[63],"Deep":[65],"Neural":[66,206],"Networks":[67],"(DNNs)":[68],"classify":[70],"images":[72,161],"has":[73,149],"gotten":[74],"lot":[76],"attention,":[78],"usually":[81],"requires":[82],"several":[83],"layers":[84],"deep":[86,128,269],"models":[87],"feature":[89,197],"learning.":[90,129],"With":[91],"insufficient":[92],"training":[93],"data,":[94],"however,":[95],"DNN":[97,212],"will":[98],"get":[99],"affected":[100],"overfitting":[103],"issue.":[104],"major":[106],"purpose":[107],"work":[110],"make":[113],"development":[115],"on":[116,251],"introducing":[117],"new":[119],"framework":[120],"image":[123,148],"categorization":[126],"using":[127],"Owing":[130],"coherent":[133],"nature":[134],"backscattering":[137],"signal,":[138],"SARs":[139],"create":[140],"speckle":[141],"noise":[142],"their":[144],"images.":[145],"If":[146],"noisy":[150],"material,":[151],"classification":[152],"becomes":[153],"more":[154],"challenging.":[155],"Hence,":[156],"pre-processing":[158],"employed":[163,226],"linear":[165],"spatial":[166],"filtering":[167],"remove":[169],"noise.":[171],"Further,":[172],"Optimized":[174],"U-Net":[175],"segmentation.":[180],"For":[181],"segmented":[183],"images,":[184],"Binary":[186],"Robust":[187],"Independent":[188],"Elementary":[189],"Features":[190],"(BRIEF)":[191],"concept":[192],"adopted":[194],"as":[195],"descriptor.":[198],"These":[199],"features":[200],"inputted":[202],"Convolutional":[205],"Network":[207],"(CNN)":[208],"with":[209],"Tuned":[210],"Weight":[211],"(C-TWDNN)":[213],"both":[218],"classification,":[221],"parameter":[223],"tuning":[224],"combination":[229],"Galactic":[231],"Swarm":[232],"Optimization":[233,238,246],"(GSO)":[234],"Deer":[236,244],"Hunting":[237,245],"Algorithm":[239],"(DHOA)":[240],"called":[241],"Self-adaptive-Galactic":[243],"(SA-GDHO).":[247],"Experiments":[248],"conducted":[250],"variety":[253],"public":[255],"datasets,":[256],"demonstrating":[257],"our":[259],"method":[260],"capable":[262],"outperforming":[264],"various":[265],"expert":[266],"systems":[267],"structured":[270],"architectures.":[271]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}