{"id":"https://openalex.org/W1983652841","doi":"https://doi.org/10.1109/igarss.2012.6351715","title":"SAR image segmentation combining the PM diffusion model and MRF model","display_name":"SAR image segmentation combining the PM diffusion model and MRF model","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1983652841","doi":"https://doi.org/10.1109/igarss.2012.6351715","mag":"1983652841"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","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/A5034852790","display_name":"Ganggang Dong","orcid":"https://orcid.org/0000-0002-1527-2426"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ganggang Dong","raw_affiliation_strings":["School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461427","display_name":"Na Wang","orcid":"https://orcid.org/0000-0002-9786-8548"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Wang","raw_affiliation_strings":["School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010651482","display_name":"Canbin Hu","orcid":"https://orcid.org/0000-0002-4183-5106"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Canbin Hu","raw_affiliation_strings":["IETR, UMR CNRS 6164, University of Rennes, Rennes, France","School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"IETR, UMR CNRS 6164, University of Rennes, Rennes, France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I1294671590","https://openalex.org/I4210100151"]},{"raw_affiliation_string":"School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101651893","display_name":"Yongmei Jiang","orcid":"https://orcid.org/0000-0002-8656-2498"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmei Jiang","raw_affiliation_strings":["School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034852790"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78590973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"48","issue":null,"first_page":"4307","last_page":"4310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.987500011920929,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.978600025177002,"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/markov-random-field","display_name":"Markov random field","score":0.8421567678451538},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7601256966590881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6503636240959167},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5848262906074524},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5135531425476074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5122820734977722},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49416401982307434},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4839785099029541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48367366194725037},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4735376238822937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38021090626716614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37096351385116577},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1513533592224121}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.8421567678451538},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7601256966590881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6503636240959167},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5848262906074524},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5135531425476074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5122820734977722},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49416401982307434},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4839785099029541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48367366194725037},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4735376238822937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38021090626716614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37096351385116577},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1513533592224121},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6351715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5699999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1554544485","https://openalex.org/W1651266332","https://openalex.org/W2069444915","https://openalex.org/W2110638237","https://openalex.org/W2123905752","https://openalex.org/W2150134853","https://openalex.org/W4213262319"],"related_works":["https://openalex.org/W2355001665","https://openalex.org/W4233585817","https://openalex.org/W1522196789","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2004379491","https://openalex.org/W2088323302","https://openalex.org/W1998269854","https://openalex.org/W2083140487"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,26,33,41,45,49,57,67,74,78,98],"statistical":[4],"segmentation":[5],"of":[6],"SAR":[7,28,103],"(Synthetic":[8],"Aperture":[9],"Radar)":[10],"image":[11,29,59,104],"combining":[12],"PM":[13,35],"(Perona":[14],"Malik)":[15],"nonlinear":[16,36],"diffusion":[17,37,42],"model":[18],"and":[19,48,54,77],"MRF":[20,63],"(Markov":[21],"Random":[22],"Field)":[23],"model.":[24],"First,":[25],"original":[27],"is":[30,60,70,84],"filtered":[31,58],"using":[32,62,72],"modified":[34],"model,":[38,64],"in":[39,65],"which":[40,66],"coefficients":[43],"along":[44],"tangent":[46],"direction":[47,51],"normal":[50],"are":[52],"approximated":[53],"simplified.":[55],"Afterwards,":[56],"segmented":[61],"clique":[68],"potential":[69],"computed":[71],"both":[73],"label":[75],"configuration":[76],"intensity":[79],"information.":[80],"The":[81],"proposed":[82],"method":[83],"marked":[85],"by":[86],"PM-MRF":[87,94],"for":[88],"short.":[89],"Experimental":[90],"results":[91],"show":[92],"that":[93],"competes":[95],"favorably":[96],"with":[97],"traditional":[99],"one":[100],"to":[101],"segment":[102],"homogeneously.":[105]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
