{"id":"https://openalex.org/W2743176326","doi":"https://doi.org/10.1109/icnsc.2017.8000172","title":"Multi-dimension and multi-granularity segmentation of remote sensing image based on improved Otsu algorithm","display_name":"Multi-dimension and multi-granularity segmentation of remote sensing image based on improved Otsu algorithm","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2743176326","doi":"https://doi.org/10.1109/icnsc.2017.8000172","mag":"2743176326"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2017.8000172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2017.8000172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","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/A5101470402","display_name":"Dongmei Huang","orcid":"https://orcid.org/0000-0002-5698-8279"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongmei Huang","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007580551","display_name":"Jingqi Sun","orcid":"https://orcid.org/0009-0000-3118-5851"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingqi Sun","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092181839","display_name":"Shuang Liu","orcid":"https://orcid.org/0000-0002-7013-9652"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Liu","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060321573","display_name":"Shoujue Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoujue Xu","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002670695","display_name":"Suling Liang","orcid":"https://orcid.org/0000-0002-9761-4660"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suling Liang","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039913940","display_name":"Cong Li","orcid":"https://orcid.org/0000-0002-4333-4786"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Li","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395219","display_name":"Zhenhua Wang","orcid":"https://orcid.org/0000-0002-6603-2019"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Wang","raw_affiliation_strings":["College of Information Technology, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101470402"],"corresponding_institution_ids":["https://openalex.org/I44675526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.07078515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"679","last_page":"684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9433000087738037,"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/otsus-method","display_name":"Otsu's method","score":0.8472148180007935},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.698342502117157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6740368604660034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6114044189453125},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5224175453186035},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5182554721832275},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4793058931827545},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4683721959590912},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46111369132995605},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.46102553606033325},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.458948016166687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45062899589538574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4410134553909302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4076325297355652},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.357532262802124},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2654324769973755}],"concepts":[{"id":"https://openalex.org/C21729346","wikidata":"https://www.wikidata.org/wiki/Q2444417","display_name":"Otsu's method","level":4,"score":0.8472148180007935},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.698342502117157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740368604660034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6114044189453125},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5224175453186035},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5182554721832275},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4793058931827545},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4683721959590912},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46111369132995605},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.46102553606033325},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.458948016166687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45062899589538574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4410134553909302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4076325297355652},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.357532262802124},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2654324769973755},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2017.8000172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2017.8000172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","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":16,"referenced_works":["https://openalex.org/W1493163589","https://openalex.org/W1614535104","https://openalex.org/W1965944468","https://openalex.org/W1969375654","https://openalex.org/W2004817400","https://openalex.org/W2008748102","https://openalex.org/W2024746652","https://openalex.org/W2044917679","https://openalex.org/W2055242945","https://openalex.org/W2057011351","https://openalex.org/W2091511254","https://openalex.org/W2120627761","https://openalex.org/W2133059825","https://openalex.org/W2138957397","https://openalex.org/W2180682969","https://openalex.org/W6680396984"],"related_works":["https://openalex.org/W2367832194","https://openalex.org/W4306937392","https://openalex.org/W1614535104","https://openalex.org/W2097351909","https://openalex.org/W2373659438","https://openalex.org/W2316679207","https://openalex.org/W3158791443","https://openalex.org/W4304806913","https://openalex.org/W2899007243","https://openalex.org/W2357263518"],"abstract_inverted_index":{"An":[0],"increasing":[1],"number":[2],"of":[3,17,176],"unknown":[4],"islands,":[5],"an":[6,118,179],"important":[7],"resource":[8],"for":[9,50,64,100],"human":[10],"development,":[11],"is":[12,47,60,184],"identified":[13],"based":[14,42],"on":[15,43,75],"segmentation":[16,40,56,112],"remote":[18,26,51,114,136,155],"sensing":[19,27,52,115,137,156],"image.":[20,53],"Different":[21],"from":[22,113],"traditional":[23,44,65,128],"digital":[24,45,66],"image,":[25,67],"image":[28,46,85,116,138,157],"has":[29],"significant":[30],"characteristics,":[31],"such":[32],"as":[33,117,178],"multi-band,":[34],"multi-source,":[35],"and":[36,77],"multi-granularity.":[37],"Thus,":[38],"the":[39,55,80,94,97,110,120,127,151,154,169,173,181],"theory":[41],"not":[48],"suitable":[49],"Here,":[54],"algorithm":[57,82,99,123,167],"(Otsu),":[58],"which":[59],"a":[61],"common":[62],"method":[63],"was":[68,86,104,124,139],"improved":[69,121,165,185],"in":[70,153],"two":[71],"aspects:":[72],"(1)":[73],"Based":[74],"PCA":[76,133],"band":[78],"fusion,":[79],"Otsu":[81,98,122,166],"with":[83,126],"one-dimensional":[84],"extended":[87,105],"to":[88,106,141],"multi-dimensional":[89],"ones;":[90],"(2)":[91],"By":[92],"optimizing":[93],"threshold":[95,149,174],"value,":[96],"single":[101],"feature":[102],"extraction":[103],"multi-granularity":[107],"extraction.":[108],"Taking":[109],"island":[111],"example,":[119,180],"compared":[125],"Otsu:":[129],"1)":[130],"Through":[131,147],"using":[132],"algorithm,":[134],"multi-band":[135],"reduced":[140],"effective":[142],"3-4":[143],"new":[144],"bands;":[145],"2)":[146],"different":[148,161],"settings,":[150],"objects":[152],"are":[158],"divided":[159],"into":[160],"classes;":[162],"3)":[163],"The":[164],"reduces":[168],"computational":[170],"complexity,":[171],"taking":[172],"value":[175],"2":[177],"time":[182],"efficiency":[183],"by":[186],"42.15%.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}