{"id":"https://openalex.org/W2022639330","doi":"https://doi.org/10.1109/geoinformatics.2013.6626119","title":"Correction of intensity inhomogeneity in SAR images via variational approach","display_name":"Correction of intensity inhomogeneity in SAR images via variational approach","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2022639330","doi":"https://doi.org/10.1109/geoinformatics.2013.6626119","mag":"2022639330"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2013.6626119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","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/A5037094522","display_name":"Bin Xiao","orcid":"https://orcid.org/0000-0001-8512-0340"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Xiao","raw_affiliation_strings":["Department of Mathematics, Shanghai University, Shanghai, China","Dept. of Math., Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Dept. of Math., Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033203506","display_name":"Yaxin Peng","orcid":"https://orcid.org/0000-0002-2983-555X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxin Peng","raw_affiliation_strings":["Department of Mathematics, Shanghai University, Shanghai, China","Dept. of Math., Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Dept. of Math., Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037094522"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09536732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9968000054359436,"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":0.9968000054359436,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9958999752998352,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8238465785980225},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.6782689094543457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5984771847724915},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5871337652206421},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5379775762557983},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5013322830200195},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.4842042922973633},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4598482549190521},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4549616575241089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45005345344543457},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4135569632053375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3943733870983124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24776288866996765},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.22750049829483032},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19202998280525208},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12763667106628418},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10816413164138794}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8238465785980225},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.6782689094543457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5984771847724915},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5871337652206421},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5379775762557983},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5013322830200195},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.4842042922973633},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4598482549190521},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4549616575241089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45005345344543457},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4135569632053375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3943733870983124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24776288866996765},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.22750049829483032},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19202998280525208},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12763667106628418},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10816413164138794},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2013.6626119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2013.6626119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1496558532","https://openalex.org/W1894285152","https://openalex.org/W1991113069","https://openalex.org/W2046634250","https://openalex.org/W2109158355","https://openalex.org/W2112891016","https://openalex.org/W2116040950","https://openalex.org/W2116375409","https://openalex.org/W2117530999","https://openalex.org/W2122184585","https://openalex.org/W2131444173","https://openalex.org/W2165734775","https://openalex.org/W6639563868","https://openalex.org/W6662461973","https://openalex.org/W6679432538"],"related_works":["https://openalex.org/W2996630340","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2613451563","https://openalex.org/W2545123933","https://openalex.org/W1994788526","https://openalex.org/W2011609146","https://openalex.org/W1915418828"],"abstract_inverted_index":{"Intensity":[0],"inhomogeneity":[1],"is":[2,59],"sometimes":[3],"visible":[4],"in":[5,54],"Synthetic":[6],"Aperture":[7],"Radar":[8],"(SAR)":[9],"images.":[10],"A":[11],"number":[12],"of":[13,23],"techniques":[14],"have":[15],"been":[16],"devised":[17],"to":[18],"correct":[19],"this":[20,40],"defect,":[21],"most":[22],"which":[24,55],"need":[25],"certain":[26],"parameters,":[27],"such":[28],"as":[29],"incidence":[30],"angle":[31],"at":[32],"each":[33],"point":[34],"or":[35],"the":[36],"Doppler":[37],"centroid.":[38],"In":[39],"paper":[41],"we":[42],"propose":[43],"a":[44,51],"unified":[45],"method":[46],"for":[47],"bias":[48],"correction":[49],"using":[50],"variational":[52],"approach":[53],"no":[56],"physical":[57],"parameter":[58],"needed.":[60]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
