{"id":"https://openalex.org/W1968281307","doi":"https://doi.org/10.1109/icip.2013.6738832","title":"A level set method for very high resolution airborne sar image segmentation","display_name":"A level set method for very high resolution airborne sar image segmentation","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1968281307","doi":"https://doi.org/10.1109/icip.2013.6738832","mag":"1968281307"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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":null,"display_name":"Siliang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siliang Sun","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000588825","display_name":"Bin Zou","orcid":"https://orcid.org/0000-0001-6135-3174"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zou","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, , China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030966569","display_name":"Xiangqian Wu","orcid":"https://orcid.org/0000-0002-0956-8757"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqian Wu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4039","last_page":"4043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection 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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8722134828567505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7445233464241028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7098807096481323},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6916462182998657},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.6627011895179749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6599637269973755},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6289706230163574},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6180989742279053},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5979231595993042},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.5834284424781799},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4931294620037079},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4904491603374481},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47186559438705444},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4479672908782959},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4438104033470154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.414633572101593},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.30763399600982666},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06367227435112}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8722134828567505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7445233464241028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098807096481323},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6916462182998657},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.6627011895179749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6599637269973755},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6289706230163574},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6180989742279053},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5979231595993042},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.5834284424781799},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4931294620037079},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4904491603374481},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47186559438705444},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4479672908782959},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4438104033470154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.414633572101593},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.30763399600982666},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06367227435112},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1989135034","https://openalex.org/W2101178628","https://openalex.org/W2116040950","https://openalex.org/W2137993841","https://openalex.org/W2138265313","https://openalex.org/W2139478903","https://openalex.org/W2144851790"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2367921179","https://openalex.org/W2945274617","https://openalex.org/W3080476861","https://openalex.org/W657288383","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2373659438"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,19,73,79,89,93,110,113],"segmentation":[4,35,95],"problem":[5],"for":[6,97],"very":[7],"high":[8],"resolution":[9],"airborne":[10],"synthetic":[11],"aperture":[12],"radar":[13],"(SAR)":[14],"images.":[15],"In":[16],"addition":[17],"to":[18,86],"instinct":[20],"speckles,":[21],"these":[22],"images":[23,70,108],"show":[24],"two":[25,94],"extra":[26],"characteristics:":[27],"scene":[28],"complexity":[29],"and":[30,99],"intensity":[31,90],"inhomogeneity,":[32],"which":[33],"make":[34],"more":[36],"difficult.":[37],"An":[38],"unsupervised":[39],"solution":[40],"is":[41,55],"proposed":[42,114],"based":[43],"on":[44,106],"level":[45,51],"set":[46,52],"method.":[47,115],"First,":[48],"a":[49],"new":[50,74],"evolution":[53,75],"method":[54],"put":[56],"forward,":[57],"it":[58],"can":[59,67],"get":[60],"global":[61],"minimum":[62],"without":[63],"initial":[64],"contour,":[65],"thus":[66],"handle":[68],"complex":[69],"automatically.":[71],"And":[72],"function":[76],"also":[77],"introduces":[78],"localizing":[80],"idea":[81],"from":[82],"region-scalable-fitting":[83],"(RSF)":[84],"model":[85],"deal":[87],"with":[88],"inhomogeneity.":[91],"Then":[92],"results":[96,105],"background":[98],"targets":[100],"are":[101],"fused.":[102],"The":[103],"experimental":[104],"real":[107],"demonstrate":[109],"effectiveness":[111],"of":[112]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}