{"id":"https://openalex.org/W1966446967","doi":"https://doi.org/10.1109/icsenst.2013.6727739","title":"Unsupervised saliency detection and a-contrario based segmentation for satellite images","display_name":"Unsupervised saliency detection and a-contrario based segmentation for satellite images","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1966446967","doi":"https://doi.org/10.1109/icsenst.2013.6727739","mag":"1966446967"},"language":"en","primary_location":{"id":"doi:10.1109/icsenst.2013.6727739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsenst.2013.6727739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Seventh International Conference on Sensing Technology (ICST)","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/A5020162825","display_name":"Junbo Zhao","orcid":"https://orcid.org/0000-0002-5828-8102"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junbo Zhao","raw_affiliation_strings":["Department of Electronic Information, Wuhan University, China","Dept. of Electron. Inf., Wuhan Univ., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Dept. of Electron. Inf., Wuhan Univ., Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048337380","display_name":"Shuoshuo Chen","orcid":"https://orcid.org/0000-0001-5689-5788"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoshuo Chen","raw_affiliation_strings":["Department of Electronic Information, Wuhan University, China","Dept. of Electron. Inf., Wuhan Univ., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Dept. of Electron. Inf., Wuhan Univ., Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015445807","display_name":"Diyang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Diyang Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Macau, Macau SAR, China","[Dept. of Electr. & Comput. Eng., Univ. of Macau, Macau, China]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Macau, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of Macau, Macau, China]","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003552018","display_name":"Hailun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailun Zhu","raw_affiliation_strings":["Department of Electronic Information, Wuhan University, China","Dept. of Electron. Inf., Wuhan Univ., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Dept. of Electron. Inf., Wuhan Univ., Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694725","display_name":"Xiaoxiao Chen","orcid":"https://orcid.org/0000-0003-2493-6922"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Chen","raw_affiliation_strings":["Department of Electronic Information, Wuhan University, China","Dept. of Electron. Inf., Wuhan Univ., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Dept. of Electron. Inf., Wuhan Univ., Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020162825"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67759784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"678","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9825000166893005,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.964900016784668,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8458120226860046},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7348405718803406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7344964742660522},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7068712115287781},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6341296434402466},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6140735745429993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5573267936706543},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5132953524589539},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4869888722896576},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4517402946949005},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4318867325782776},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4235903024673462},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4147215187549591}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8458120226860046},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7348405718803406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344964742660522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7068712115287781},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6341296434402466},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6140735745429993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5573267936706543},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5132953524589539},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4869888722896576},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4517402946949005},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4318867325782776},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4235903024673462},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4147215187549591}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsenst.2013.6727739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsenst.2013.6727739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Seventh International Conference on Sensing Technology (ICST)","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":14,"referenced_works":["https://openalex.org/W1981228217","https://openalex.org/W2006262236","https://openalex.org/W2017245158","https://openalex.org/W2034436892","https://openalex.org/W2037954058","https://openalex.org/W2041719651","https://openalex.org/W2066770854","https://openalex.org/W2073415702","https://openalex.org/W2083307425","https://openalex.org/W2083808096","https://openalex.org/W2103666701","https://openalex.org/W2128272608","https://openalex.org/W2146103513","https://openalex.org/W2913455019"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"salient":[3],"region":[4],"detection":[5,50],"techniques":[6,17],"are":[7],"widely":[8],"used":[9],"in":[10,39,100],"image":[11,15,36,153],"segmentation.":[12,154],"The":[13],"traditional":[14],"segmentation":[16],"primarily":[18],"depend":[19],"on":[20,130],"human":[21],"to":[22,102,108,133,141],"label":[23],"or":[24],"mark":[25],"the":[26,74,84,89,104,109,118,135,142],"target":[27],"areas":[28],"interactively,":[29],"which":[30,57],"is":[31,77,147],"far":[32],"insufficient":[33],"for":[34,53,117,151],"real-time":[35],"processing.":[37],"Therefore,":[38],"this":[40],"paper":[41],"we":[42,93,123],"propose":[43],"a":[44,78,125],"new":[45],"method":[46,146],"of":[47,65,71,81,137],"unsupervised":[48],"saliency":[49,72,105],"based":[51,129],"segmentation,":[52,122],"high-resolution":[54],"satellite":[55,152],"images,":[56],"requires":[58],"no":[59],"manual":[60],"interaction":[61],"and":[62,88,96,149],"prior":[63],"knowledge":[64],"their":[66],"content.":[67],"Our":[68],"proposed":[69],"model":[70],"at":[73],"considered":[75],"pixel":[76,85],"weighted":[79],"average":[80],"dissimilarities":[82],"between":[83],"involved":[86],"patch":[87],"other":[90],"patches.":[91],"Moreover,":[92],"evaluated":[94],"global":[95],"multi-scale":[97],"contrast":[98],"differences":[99],"order":[101],"extend":[103],"calculation":[106],"window":[107],"entire":[110],"image.":[111],"To":[112],"acquire":[113],"an":[114],"appropriate":[115],"threshold":[116],"remote":[119],"sensing":[120],"images":[121],"apply":[124],"probabilistic":[126],"a-contrario":[127],"framework":[128],"perception":[131],"principle":[132],"measure":[134],"meaningfulness":[136],"such":[138],"saliencies.":[139],"According":[140],"experimental":[143],"results,":[144],"our":[145],"feasible":[148],"practicable":[150]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
