{"id":"https://openalex.org/W2772182754","doi":"https://doi.org/10.1109/igarss.2017.8127650","title":"An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes","display_name":"An adaptive sar image speckle reduction algorithm based on wavelet transform and diffusion equations for marine scenes","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2772182754","doi":"https://doi.org/10.1109/igarss.2017.8127650","mag":"2772182754"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-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/A5012142124","display_name":"Yanjiao Yang","orcid":"https://orcid.org/0009-0006-0597-6557"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjiao Yang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006501128","display_name":"Zegang Ding","orcid":"https://orcid.org/0000-0002-2967-4936"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zegang Ding","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108115385","display_name":"Jingyun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyun Liu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000038331","display_name":"Qiang Gao","orcid":"https://orcid.org/0000-0002-3067-1820"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Gao","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103056582","display_name":"Xinzhe Yuan","orcid":"https://orcid.org/0000-0002-6034-3561"},"institutions":[{"id":"https://openalex.org/I4210128742","display_name":"National Satellite Ocean Application Service","ror":"https://ror.org/038fwcw54","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128742"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhe Yuan","raw_affiliation_strings":["National Satellite Ocean Application Service, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Satellite Ocean Application Service, Beijing, China","institution_ids":["https://openalex.org/I4210128742"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076575553","display_name":"Xiaojun Lu","orcid":"https://orcid.org/0000-0002-2051-4290"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Lu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1804,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58368147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"32","issue":null,"first_page":"3082","last_page":"3085"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.7056319117546082},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6624826192855835},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6195982694625854},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.601885199546814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6011434197425842},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5110644102096558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.506379246711731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.501284122467041},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.487528532743454},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.47449302673339844},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4728458523750305},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45101219415664673},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.42746418714523315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38276559114456177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36322107911109924},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2501891255378723}],"concepts":[{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7056319117546082},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6624826192855835},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6195982694625854},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.601885199546814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6011434197425842},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5110644102096558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.506379246711731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.501284122467041},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.487528532743454},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.47449302673339844},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4728458523750305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45101219415664673},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.42746418714523315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38276559114456177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36322107911109924},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2501891255378723}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2108944658","https://openalex.org/W2117294245","https://openalex.org/W2132984323","https://openalex.org/W2146842127","https://openalex.org/W2162457349"],"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/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,16,66,83,97],"reduce":[3,72],"speckle":[4,20],"noise":[5,70,76,111],"and":[6,29,32,61,71,90,112,119],"maintain":[7],"targets'":[8],"characteristics":[9],"in":[10,105],"SAR":[11],"image":[12],"with":[13,131],"low":[14],"signal":[15],"noise(SNR),":[17],"an":[18],"adaptive":[19],"reduction":[21],"algorithm":[22,125],"based":[23],"on":[24,77],"the":[25,30,73,78,91,99,109,124,129,132],"wavelet":[26,44,54,106],"threshold":[27],"de-noising":[28,46,55],"Forward":[31],"Back(FAB)":[33],"diffusion":[34],"equation":[35],"for":[36],"marine":[37],"scenes":[38],"is":[39,64,88,95,126],"proposed.":[40],"First,":[41],"a":[42],"new":[43],"thresholding":[45],"function":[47,56,63],"which":[48],"can":[49],"avoid":[50],"shortcomings":[51],"of":[52,69,75,101,123],"other":[53],"such":[57,115],"as":[58,116],"Hard-thresholding,":[59],"Soft-thresholding":[60],"Firm-thresholding":[62],"proposed":[65],"filter":[67],"part":[68],"impact":[74],"FAB":[79,93],"operation.":[80],"Second,":[81],"how":[82],"select":[84],"suitable":[85],"constant":[86],"parameters":[87],"analyzed":[89],"improved":[92],"operation":[94],"used":[96],"eliminate":[98],"influence":[100],"discontinuous":[102],"points":[103,118],"generated":[104],"operation,":[107],"suppress":[108],"residual":[110],"stress":[113],"targets":[114],"bright":[117],"edge.":[120],"The":[121],"effectiveness":[122],"verified":[127],"by":[128],"experiments":[130],"GF-3":[133],"image.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
