{"id":"https://openalex.org/W2070083314","doi":"https://doi.org/10.1109/igarss.2015.7326159","title":"Salient region detection in remote sensing images based on color information content","display_name":"Salient region detection in remote sensing images based on color information content","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2070083314","doi":"https://doi.org/10.1109/igarss.2015.7326159","mag":"2070083314"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5087779583","display_name":"Libao Zhang","orcid":"https://orcid.org/0000-0002-0888-2330"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Libao Zhang","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China","College of Information Science and Technology Beijing Normal University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Information Science and Technology Beijing Normal University,Beijing,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673317","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-3351-7930"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China","College of Information Science and Technology Beijing Normal University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Information Science and Technology Beijing Normal University,Beijing,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053246660","display_name":"Xuewei Li","orcid":"https://orcid.org/0000-0001-5336-7234"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewei Li","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China","College of Information Science and Technology Beijing Normal University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Information Science and Technology Beijing Normal University,Beijing,China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087779583"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.07513986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1877","last_page":"1880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9890000224113464,"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":0.9879999756813049,"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/salient","display_name":"Salient","score":0.8231236934661865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730172634124756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6353697776794434},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6232608556747437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5863440632820129},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.44097959995269775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4300594627857208},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41823717951774597},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39689746499061584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25905442237854004},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2151847779750824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12440058588981628}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8231236934661865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730172634124756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6353697776794434},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6232608556747437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5863440632820129},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.44097959995269775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4300594627857208},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41823717951774597},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39689746499061584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25905442237854004},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2151847779750824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12440058588981628},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1974083340","https://openalex.org/W1978904636","https://openalex.org/W2100470808","https://openalex.org/W2122524329","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2146103513","https://openalex.org/W2158987471","https://openalex.org/W2206278467","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2545348020","https://openalex.org/W2369060955"],"abstract_inverted_index":{"Accurate":[0],"and":[1,46,77],"anti-noise":[2],"detection":[3,24],"of":[4,10,56,69,91,101],"salient":[5,22],"regions":[6],"is":[7,35,71,81],"a":[8,20],"hotspot":[9],"remote":[11,31],"sensing":[12,32],"image":[13],"analysis.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18],"introduce":[19],"new":[21],"region":[23],"model":[25,40,123],"for":[26],"residential":[27],"areas":[28],"in":[29],"high-spatial-resolution":[30],"images,":[33],"which":[34,87],"called":[36],"Color":[37],"Information":[38],"Content":[39],"(CIC),":[41],"applying":[42],"color":[43,58,103],"information":[44,67,79,85,89,112],"content":[45,68,90],"outputting":[47],"full":[48],"resolution":[49],"saliency":[50,98,108],"maps.":[51,113],"First,":[52],"one-dimensional":[53],"(1D)":[54],"histograms":[55,76],"different":[57,102],"channels":[59,104],"are":[60,105],"constructed":[61],"based":[62,110],"on":[63,73,111],"intensities.":[64],"Second,":[65],"the":[66,74],"intensities":[70,100],"computed":[72],"1D":[75],"an":[78],"mapping":[80],"used":[82],"to":[83,96],"construct":[84],"maps":[86],"reflect":[88],"each":[92],"colour":[93],"channel.":[94],"Finally,":[95],"establish":[97],"map,":[99],"fused":[106],"by":[107],"scores":[109],"Experimental":[114],"results":[115,128],"show":[116],"that":[117],"compared":[118],"with":[119],"existing":[120],"models,":[121],"our":[122],"not":[124],"only":[125],"gets":[126],"accurate":[127],"effectively,":[129],"but":[130],"also":[131],"has":[132],"good":[133],"noise":[134],"immunity.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}