{"id":"https://openalex.org/W2772904406","doi":"https://doi.org/10.1109/igarss.2017.8128019","title":"PolSAR image segmentation based on hierarchical region merging and segment refinement with WMRF model","display_name":"PolSAR image segmentation based on hierarchical region merging and segment refinement with WMRF model","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2772904406","doi":"https://doi.org/10.1109/igarss.2017.8128019","mag":"2772904406"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8128019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128019","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/A5100776069","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-3421-3835"},"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"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["CN","SE"],"is_corresponding":true,"raw_author_name":"Wei Wang","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","Division of Geoinformatics, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Division of Geoinformatics, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113823947","display_name":"Qinglin Zhai","orcid":null},"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":"Qinglin Zhai","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College 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/A5040195008","display_name":"Yifang Ban","orcid":"https://orcid.org/0000-0003-1369-3216"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yifang Ban","raw_affiliation_strings":["Division of Geoinformatics, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Geoinformatics, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666966","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-2169-8041"},"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":"Jun Zhang","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College 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/A5108443884","display_name":"Jianwei Wan","orcid":"https://orcid.org/0009-0005-5440-4179"},"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":"Jianwei Wan","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College 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":5,"corresponding_author_ids":["https://openalex.org/A5100776069"],"corresponding_institution_ids":["https://openalex.org/I170215575","https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09772284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9702000021934509,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9684000015258789,"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/image-segmentation","display_name":"Image segmentation","score":0.711100697517395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6754740476608276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984898209571838},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5699503421783447},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5303904414176941},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5004191398620605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48386871814727783}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.711100697517395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754740476608276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984898209571838},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5699503421783447},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5303904414176941},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5004191398620605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48386871814727783}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8128019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128019","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":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1421632428","https://openalex.org/W1965362766","https://openalex.org/W1974141535","https://openalex.org/W2002466026","https://openalex.org/W2013697554","https://openalex.org/W2028961524","https://openalex.org/W2062047919","https://openalex.org/W2089391573","https://openalex.org/W2095595743","https://openalex.org/W2144554203","https://openalex.org/W2267936589","https://openalex.org/W2485120789","https://openalex.org/W2507859485","https://openalex.org/W4229864936","https://openalex.org/W6693352842"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W2799953226","https://openalex.org/W4366343436","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,45],"this":[1],"paper,":[2],"a":[3,95,97],"superpixel-based":[4],"segmentation":[5,85],"method":[6,120],"is":[7,38,55,79,121],"proposed":[8,119],"for":[9],"PolSAR":[10,126],"images":[11],"by":[12,87],"utilizing":[13],"hierarchical":[14],"region":[15],"merging":[16,43,60],"and":[17,108],"segment":[18,77],"refinement.":[19],"The":[20,115],"loss":[21],"of":[22,30,105,117],"the":[23,28,35,42,48,52,61,73,76,84,90,102,106,109,118,129],"energy":[24],"function,":[25],"which":[26],"determines":[27],"consistency":[29],"two":[31],"adjacent":[32],"regions":[33,62],"from":[34,65,128],"statistical":[36,103],"aspect,":[37],"applied":[39,80],"to":[40,47,58,81],"guide":[41],"procedure.":[44],"addition":[46],"edge":[49,91],"penalty":[50],"term,":[51],"homogeneity":[53],"measurement":[54],"also":[56],"employed":[57],"prevent":[59],"that":[63],"are":[64],"different":[66],"land":[67],"covers":[68],"or":[69],"objects.":[70],"Based":[71],"on":[72,123],"merged":[74],"segments,":[75],"refinement":[78],"further":[82],"improve":[83],"accuracy":[86],"iteratively":[88],"relabeling":[89],"pixels.":[92],"It":[93],"uses":[94],"maximum":[96],"posterior":[98],"(MAP)":[99],"criterion":[100],"using":[101],"distribution":[104],"pixels":[107],"Markov":[110],"random":[111],"field":[112],"(MRF)":[113],"model.":[114],"performance":[116],"validated":[122],"an":[124],"experimental":[125],"dataset":[127],"ESAR":[130],"system.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
