{"id":"https://openalex.org/W4402260652","doi":"https://doi.org/10.1109/igarss53475.2024.10640902","title":"Scene-Specific Unsupervised Segmentation Parameter Optimization for High-Resolution Remote Sensing Images","display_name":"Scene-Specific Unsupervised Segmentation Parameter Optimization for High-Resolution Remote Sensing Images","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260652","doi":"https://doi.org/10.1109/igarss53475.2024.10640902"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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":"https://openalex.org/A5100632047","display_name":"Xiaoliang Liu","orcid":"https://orcid.org/0000-0003-4288-3916"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Liu","raw_affiliation_strings":["Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing,China,100101"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing,China,100101","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036109302","display_name":"Xiaomei Yang","orcid":"https://orcid.org/0000-0003-1643-8480"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomei Yang","raw_affiliation_strings":["Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing,China,100101"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing,China,100101","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058304491","display_name":"Zhihua Wang","orcid":"https://orcid.org/0000-0002-6776-2910"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Wang","raw_affiliation_strings":["Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing,China,100101"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing,China,100101","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100749749","display_name":"Junyao Zhang","orcid":"https://orcid.org/0000-0001-6570-5931"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyao Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing,China,100101"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing,China,100101","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9823","last_page":"9826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693574070930481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6760380268096924},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6564285755157471},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6206187009811401},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5540961027145386},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4806289076805115},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4639771580696106},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.447343111038208},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44306662678718567},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.41604089736938477},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.159138023853302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693574070930481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6760380268096924},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6564285755157471},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6206187009811401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5540961027145386},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4806289076805115},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4639771580696106},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.447343111038208},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44306662678718567},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.41604089736938477},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.159138023853302}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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":3,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2142710676","https://openalex.org/W2646105771"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W1522196789","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W4212954839"],"abstract_inverted_index":{"The":[0,79],"primary":[1],"challenge":[2],"in":[3,84,113],"image":[4,77],"segmentation":[5,36,88,127],"arises":[6],"from":[7],"the":[8,14,52,58,85,94,103,108,125],"scale":[9],"selection":[10],"issue":[11],"induced":[12],"by":[13],"complex":[15],"structure":[16],"of":[17,54,110],"scenes":[18],"portrayed":[19],"as":[20],"an":[21,64],"image.":[22],"To":[23],"solve":[24],"this":[25,27],"problem,":[26],"study":[28],"developed":[29],"a":[30],"novel":[31],"framework":[32],"named":[33],"scene-specific":[34],"unsupervised":[35],"parameter":[37,70],"optimization":[38,71],"to":[39],"conduct":[40],"multiscale":[41],"segmentation.":[42],"Images":[43],"were":[44],"firstly":[45],"divided":[46],"into":[47],"different":[48,91],"partitions":[49],"based":[50],"on":[51],"complexity":[53,60,98],"scene":[55,96],"structures,":[56],"where":[57],"structural":[59,66,97],"was":[61,72],"measured":[62],"using":[63],"extended":[65],"similarity":[67],"index.":[68],"Subsequently,":[69],"implemented":[73],"separately":[74],"within":[75,99],"each":[76,100],"partition.":[78,101],"results":[80,106],"indicated":[81],"significant":[82],"variations":[83],"estimated":[86],"optimal":[87],"scales":[89],"across":[90],"partitions,":[92],"following":[93],"corresponding":[95],"Moreover,":[102],"accuracy":[104],"evaluation":[105],"demonstrated":[107],"effectiveness":[109],"our":[111],"methodology":[112],"segmenting":[114],"geographic":[115],"objects":[116],"with":[117],"diverse":[118],"geometric":[119],"and":[120],"spectral":[121],"features,":[122],"significantly":[123],"improving":[124],"overall":[126],"quality.":[128]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}