{"id":"https://openalex.org/W2774812420","doi":"https://doi.org/10.1109/igarss.2017.8127294","title":"SAR images super-resolution via cartoon-texture image decomposition and jointly optimized regressors","display_name":"SAR images super-resolution via cartoon-texture image decomposition and jointly optimized regressors","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2774812420","doi":"https://doi.org/10.1109/igarss.2017.8127294","mag":"2774812420"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127294","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/A5074964752","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0001-7487-3187"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["IST, Kyoto University, Kyoto, Japan","Ministry of Education of China, Xidian University, Xi'an, P. R. China"],"affiliations":[{"raw_affiliation_string":"IST, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Ministry of Education of China, Xidian University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065660222","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-4940-1211"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["IST, Kyoto University, Kyoto, Japan","Ministry of Education of China, Xidian University, Xi'an, P. R. China"],"affiliations":[{"raw_affiliation_string":"IST, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Ministry of Education of China, Xidian University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028710519","display_name":"Caijin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Caijin Xu","raw_affiliation_strings":["IST, Kyoto University, Kyoto, Japan","Ministry of Education of China, Xidian University, Xi'an, P. R. China"],"affiliations":[{"raw_affiliation_string":"IST, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Ministry of Education of China, Xidian University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101417093","display_name":"Chengyuan Li","orcid":"https://orcid.org/0000-0002-4422-6584"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Chengyuan Li","raw_affiliation_strings":["IST, Kyoto University, Kyoto, Japan","Ministry of Education of China, Xidian University, Xi'an, P. R. China"],"affiliations":[{"raw_affiliation_string":"IST, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Ministry of Education of China, Xidian University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110377179","display_name":"Bo Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Bo Yue","raw_affiliation_strings":["IST, Kyoto University, Kyoto, Japan","Ministry of Education of China, Xidian University, Xi'an, P. R. China"],"affiliations":[{"raw_affiliation_string":"IST, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Ministry of Education of China, Xidian University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083213551","display_name":"Xuefeng Liang","orcid":"https://orcid.org/0000-0002-1448-0477"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Xuefeng Liang","raw_affiliation_strings":["IST, Kyoto University, Kyoto, Japan","Ministry of Education of China, Xidian University, Xi'an, P. R. China"],"affiliations":[{"raw_affiliation_string":"IST, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Ministry of Education of China, Xidian University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074964752"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.65421754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"1668","last_page":"1671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.6949067115783691},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6873874068260193},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6372411251068115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6088356971740723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5894502997398376},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5544857978820801},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5505346655845642},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5338979959487915},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4465154707431793},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4180232286453247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3745304346084595},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34895557165145874},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2252819538116455},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20389941334724426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949067115783691},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6873874068260193},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6372411251068115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6088356971740723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5894502997398376},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5544857978820801},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5505346655845642},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5338979959487915},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4465154707431793},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4180232286453247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3745304346084595},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34895557165145874},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2252819538116455},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20389941334724426},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127294","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":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W207373900","https://openalex.org/W1606963477","https://openalex.org/W1949096787","https://openalex.org/W2097074225","https://openalex.org/W2121058967","https://openalex.org/W2132355074","https://openalex.org/W2149669120","https://openalex.org/W2164911019","https://openalex.org/W6608410706","https://openalex.org/W6677973867"],"related_works":["https://openalex.org/W2355001665","https://openalex.org/W2380059383","https://openalex.org/W2008518276","https://openalex.org/W2152662390","https://openalex.org/W2044270176","https://openalex.org/W2374828682","https://openalex.org/W2153116791","https://openalex.org/W2388733570","https://openalex.org/W1980033651","https://openalex.org/W4230530180"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,41],"novel":[4],"approach":[5],"to":[6,53,66,94],"enhance":[7],"the":[8,31,48,68,96,111],"spatial":[9],"resolution":[10],"of":[11,50,71,90,98,101,113],"Synthetic":[12],"Aperture":[13],"Radar(SAR)":[14],"images.":[15,61,73,103],"SAR":[16,23,51,56,60,72,75,102],"images":[17,24,57,76],"super-resolution(SR)":[18],"reconstruction":[19],"is":[20,93],"challenging":[21],"since":[22],"has":[25,64],"more":[26],"complex":[27],"structures.":[28],"Inspired":[29],"by":[30],"recent":[32],"advance":[33],"on":[34],"natural":[35],"image":[36],"SR":[37],"techniques,":[38],"we":[39],"propose":[40],"joint":[42],"learning":[43],"based":[44],"strategy[1],":[45],"combined":[46],"with":[47],"characteristics":[49],"image,":[52],"reconstruct":[54],"HR":[55],"from":[58],"LR":[59],"Our":[62],"method":[63],"ability":[65],"handle":[67],"complicated":[69],"structures":[70],"Besides,":[74],"are":[77],"decomposed":[78],"into":[79],"cartoon":[80],"components":[81,84],"and":[82,85,107],"texture":[83],"processed":[86],"respectively.":[87],"The":[88,104],"purpose":[89],"decomposing":[91],"strategy":[92],"reduce":[95],"influence":[97],"speckle":[99],"noise":[100],"experimental":[105],"results":[106],"comparative":[108],"analyses":[109],"verify":[110],"effectiveness":[112],"this":[114],"algorithm.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"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"}
