{"id":"https://openalex.org/W2912512047","doi":"https://doi.org/10.1145/3239576.3239578","title":"MIFNet","display_name":"MIFNet","publication_year":2018,"publication_date":"2018-06-16","ids":{"openalex":"https://openalex.org/W2912512047","doi":"https://doi.org/10.1145/3239576.3239578","mag":"2912512047"},"language":"en","primary_location":{"id":"doi:10.1145/3239576.3239578","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3239576.3239578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Advances in Image Processing","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/A5014233468","display_name":"Zhihong Pan","orcid":"https://orcid.org/0000-0003-0866-762X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihong Pan","raw_affiliation_strings":["School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112233442","display_name":"Hao Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Dou","raw_affiliation_strings":["School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005682579","display_name":"Jiaxing Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxing Mao","raw_affiliation_strings":["School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101925911","display_name":"Min Dai","orcid":"https://orcid.org/0000-0002-5624-4077"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Dai","raw_affiliation_strings":["School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108582091","display_name":"Jinwen Tian","orcid":"https://orcid.org/0000-0001-8506-916X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwen Tian","raw_affiliation_strings":["School of Automation, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014233468"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.24473776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9940000176429749,"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":0.9940000176429749,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9836000204086304,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9819999933242798,"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/computer-science","display_name":"Computer science","score":0.7895580530166626},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6359413862228394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6005992889404297},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5921943187713623},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.548223078250885},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5472438335418701},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46187591552734375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44980305433273315},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.445705771446228},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4412563145160675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4285879135131836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4019782543182373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3501678705215454},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13889271020889282},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1098596453666687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7895580530166626},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6359413862228394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6005992889404297},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5921943187713623},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.548223078250885},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5472438335418701},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46187591552734375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44980305433273315},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.445705771446228},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4412563145160675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4285879135131836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4019782543182373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3501678705215454},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13889271020889282},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1098596453666687},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3239576.3239578","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3239576.3239578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.75,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1817277359","https://openalex.org/W1836465849","https://openalex.org/W1899185266","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1972600947","https://openalex.org/W1978271497","https://openalex.org/W2013499761","https://openalex.org/W2077509829","https://openalex.org/W2155893237","https://openalex.org/W2560023338","https://openalex.org/W2565813159","https://openalex.org/W2609077090","https://openalex.org/W2612676323","https://openalex.org/W2752262670","https://openalex.org/W2757094569","https://openalex.org/W2804860796","https://openalex.org/W2952865063","https://openalex.org/W2963840672","https://openalex.org/W2963859992","https://openalex.org/W2963881378"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Sea-land":[0],"segmentation":[1,61],"is":[2],"of":[3,20,75,84],"great":[4],"significance":[5],"to":[6,13,36],"coastline":[7],"extraction":[8],"and":[9,17,31,59,69,73],"ship":[10],"detection.":[11],"Due":[12],"the":[14,98],"complicated":[15],"texture":[16],"intensity":[18],"distribution":[19],"high":[21],"resolution":[22],"remote":[23],"sensing":[24],"images,":[25],"traditional":[26],"methods":[27],"based":[28,48],"on":[29,49,81],"threshold":[30],"artificial":[32],"features":[33],"are":[34],"difficult":[35],"perform":[37],"well.":[38],"This":[39],"paper":[40],"presents":[41],"a":[42,82],"new":[43],"multi-information":[44],"fusion":[45],"network":[46,78],"(MIFNet)":[47],"convolutional":[50],"neural":[51],"network.":[52],"MIFNet":[53],"not":[54],"only":[55],"considers":[56],"multi-scale":[57,60],"edges":[58],"information,":[62,68],"but":[63],"also":[64],"introduces":[65],"global":[66],"context":[67],"fuses":[70],"different":[71],"scales":[72],"types":[74],"information":[76],"through":[77],"learning.":[79],"Experiments":[80],"set":[83],"natural-colored":[85],"images":[86],"from":[87],"Google":[88],"Earth":[89],"show":[90],"that":[91],"our":[92],"model":[93],"achieves":[94],"better":[95],"performance":[96],"than":[97],"state-of-the-art":[99],"methods.":[100]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-02-21T00:00:00"}
