{"id":"https://openalex.org/W2789766190","doi":"https://doi.org/10.1109/camsap.2017.8313133","title":"Generative adversarial network-based restoration of speckled SAR images","display_name":"Generative adversarial network-based restoration of speckled SAR images","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2789766190","doi":"https://doi.org/10.1109/camsap.2017.8313133","mag":"2789766190"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2017.8313133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5014463024","display_name":"Puyang Wang","orcid":"https://orcid.org/0000-0003-2657-6051"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Puyang Wang","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420133","display_name":"He Zhang","orcid":"https://orcid.org/0000-0002-7036-6820"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"He Zhang","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004716468","display_name":"Vishal M. Patel","orcid":"https://orcid.org/0000-0002-5239-692X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishal M. Patel","raw_affiliation_strings":["Engn - Elec & Computer Engn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engn - Elec & Computer Engn","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0348,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.88754658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9941999912261963,"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":0.7718107104301453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7635521292686462},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.7524876594543457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7221766114234924},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6353887915611267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5922963619232178},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.5621659159660339},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5450842380523682},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.500654935836792},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4887537956237793},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4505206346511841},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4397605061531067},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42168089747428894},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4152834415435791},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38156068325042725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35894161462783813},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2582724690437317},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.24415650963783264},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08377784490585327}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7718107104301453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7635521292686462},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7524876594543457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221766114234924},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6353887915611267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5922963619232178},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.5621659159660339},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5450842380523682},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.500654935836792},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4887537956237793},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4505206346511841},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4397605061531067},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42168089747428894},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4152834415435791},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38156068325042725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35894161462783813},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2582724690437317},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.24415650963783264},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08377784490585327},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2017.8313133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W357677209","https://openalex.org/W1510539975","https://openalex.org/W1522301498","https://openalex.org/W1600455797","https://openalex.org/W1602107991","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1991863442","https://openalex.org/W2003884262","https://openalex.org/W2004376198","https://openalex.org/W2049909233","https://openalex.org/W2057771708","https://openalex.org/W2073354982","https://openalex.org/W2074319623","https://openalex.org/W2096933452","https://openalex.org/W2099471712","https://openalex.org/W2110158442","https://openalex.org/W2111899019","https://openalex.org/W2116992238","https://openalex.org/W2117294245","https://openalex.org/W2129553449","https://openalex.org/W2133665775","https://openalex.org/W2144851790","https://openalex.org/W2151221869","https://openalex.org/W2159269332","https://openalex.org/W2163605009","https://openalex.org/W2173520492","https://openalex.org/W2331128040","https://openalex.org/W2508457857","https://openalex.org/W2509784253","https://openalex.org/W2520164769","https://openalex.org/W2580458810","https://openalex.org/W2604403460","https://openalex.org/W2949117887","https://openalex.org/W2963017889","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2963470893","https://openalex.org/W2964046669","https://openalex.org/W2964121744","https://openalex.org/W3122764147","https://openalex.org/W4320013936","https://openalex.org/W6602211262","https://openalex.org/W6684191040","https://openalex.org/W6726381175"],"related_works":["https://openalex.org/W2729888996","https://openalex.org/W2594861681","https://openalex.org/W1978158265","https://openalex.org/W2110417120","https://openalex.org/W2121688719","https://openalex.org/W2112117567","https://openalex.org/W1630450647","https://openalex.org/W2112985705","https://openalex.org/W3206904477","https://openalex.org/W2012617855"],"abstract_inverted_index":{"Synthetic":[0],"Aperture":[1],"Radar":[2],"(SAR)":[3],"images":[4,23,74],"are":[5],"often":[6],"contaminated":[7],"by":[8],"a":[9,27,57],"multiplicative":[10],"noise":[11],"known":[12],"as":[13],"speckle.":[14],"Speckle":[15],"makes":[16],"the":[17,43,77,84],"processing":[18],"and":[19,64,71],"interpretation":[20],"of":[21,59],"SAR":[22,73],"difficult.":[24],"We":[25],"propose":[26],"deep":[28],"learning-based":[29],"approach":[30],"called,":[31],"Image":[32],"Despeckling":[33],"Generative":[34],"Adversarial":[35,65],"Network":[36],"(ID-GAN),":[37],"for":[38],"automatically":[39],"removing":[40],"speckle":[41,86],"from":[42],"input":[44],"noisy":[45],"images.":[46],"In":[47],"particular,":[48],"ID-GAN":[49],"is":[50],"trained":[51],"in":[52],"an":[53],"end-to-end":[54],"fashion":[55],"using":[56],"combination":[58],"Euclidean":[60],"loss,":[61],"Perceptual":[62],"loss":[63],"loss.":[66],"Extensive":[67],"experiments":[68],"on":[69],"synthetic":[70],"real":[72],"show":[75],"that":[76],"proposed":[78],"method":[79],"achieves":[80],"significant":[81],"improvements":[82],"over":[83],"state-of-the-art":[85],"reduction":[87],"methods.":[88]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
