{"id":"https://openalex.org/W1963816830","doi":"https://doi.org/10.1109/jstars.2014.2319736","title":"Regions of Interest Detection in Panchromatic Remote Sensing Images Based on Multiscale Feature Fusion","display_name":"Regions of Interest Detection in Panchromatic Remote Sensing Images Based on Multiscale Feature Fusion","publication_year":2014,"publication_date":"2014-05-09","ids":{"openalex":"https://openalex.org/W1963816830","doi":"https://doi.org/10.1109/jstars.2014.2319736","mag":"1963816830"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2319736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2319736","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5055419469","display_name":"Kaina Yang","orcid":null},"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":"Kaina Yang","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/A5100348686","display_name":"Hao Li","orcid":"https://orcid.org/0000-0003-2769-4842"},"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":"Hao 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":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":10.5266,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.98256106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":"12","first_page":"4704","last_page":"4716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9986000061035156,"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":0.7364085912704468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7312408089637756},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.6934481859207153},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6882458329200745},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6045899987220764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5776047110557556},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.560623824596405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5498313307762146},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5306851863861084},{"id":"https://openalex.org/keywords/biorthogonal-system","display_name":"Biorthogonal system","score":0.5152804851531982},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4706164002418518},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.45485997200012207},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45220234990119934},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44566476345062256},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.425202876329422},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.35447561740875244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32016521692276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1711181104183197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364085912704468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7312408089637756},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.6934481859207153},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6882458329200745},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6045899987220764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5776047110557556},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.560623824596405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5498313307762146},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5306851863861084},{"id":"https://openalex.org/C158453530","wikidata":"https://www.wikidata.org/wiki/Q864692","display_name":"Biorthogonal system","level":4,"score":0.5152804851531982},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4706164002418518},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.45485997200012207},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45220234990119934},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44566476345062256},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.425202876329422},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.35447561740875244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32016521692276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1711181104183197},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2319736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2319736","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7145948420","display_name":null,"funder_award_id":"61071103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7279694191","display_name":null,"funder_award_id":"2012LYB50","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321432","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W120870970","https://openalex.org/W123101483","https://openalex.org/W1497599070","https://openalex.org/W1502980253","https://openalex.org/W1974083340","https://openalex.org/W1978904636","https://openalex.org/W1984792953","https://openalex.org/W1988704903","https://openalex.org/W1991296773","https://openalex.org/W2003981511","https://openalex.org/W2020912318","https://openalex.org/W2030031014","https://openalex.org/W2034011885","https://openalex.org/W2041719651","https://openalex.org/W2046888627","https://openalex.org/W2067187775","https://openalex.org/W2073288201","https://openalex.org/W2081133404","https://openalex.org/W2081865073","https://openalex.org/W2089597841","https://openalex.org/W2091845343","https://openalex.org/W2099563019","https://openalex.org/W2104869048","https://openalex.org/W2115717322","https://openalex.org/W2120838001","https://openalex.org/W2122524329","https://openalex.org/W2128272608","https://openalex.org/W2133059825","https://openalex.org/W2135957164","https://openalex.org/W2136251662","https://openalex.org/W2137027839","https://openalex.org/W2142768220","https://openalex.org/W2146103513","https://openalex.org/W2152752164","https://openalex.org/W2158162781","https://openalex.org/W2158940042","https://openalex.org/W2162216530","https://openalex.org/W2206278467","https://openalex.org/W4214806317","https://openalex.org/W4232660822","https://openalex.org/W6629815417","https://openalex.org/W6667615774","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2385264142","https://openalex.org/W2044102280","https://openalex.org/W2380263558","https://openalex.org/W2992121921","https://openalex.org/W1966079689","https://openalex.org/W1954408549","https://openalex.org/W2418010961","https://openalex.org/W2108591609","https://openalex.org/W2089574679","https://openalex.org/W2362168411"],"abstract_inverted_index":{"A":[0,95],"global":[1],"searching":[2],"solution":[3],"was":[4],"often":[5],"employed":[6],"in":[7,24],"traditional":[8],"prior-knowledge-based":[9],"regions":[10,115],"of":[11],"interest":[12],"(ROIs)":[13],"detection":[14,41,135],"methods":[15],"for":[16],"processing":[17],"high-resolution":[18],"remote":[19],"sensing":[20],"images,":[21],"which":[22],"results":[23,121],"prohibitively":[25],"complex":[26],"computing.":[27],"To":[28],"solve":[29],"this":[30,32],"problem,":[31],"study":[33],"proposes":[34],"a":[35],"faster":[36],"and":[37,59,85,93,130],"more":[38,132],"efficient":[39,129],"ROI":[40],"algorithm":[42,126],"based":[43],"on":[44],"multiscale":[45,62],"feature":[46,56],"fusion,":[47],"wherein":[48],"the":[49,86,124],"input":[50],"image":[51],"is":[52,66,79,89,100,127],"processed":[53],"along":[54],"two":[55],"channels:":[57],"intensity":[58,70],"orientation.":[60],"The":[61,72,119],"spectrum":[63],"residuals":[64],"method":[65,99],"proposed":[67,101],"to":[68,81,102],"compute":[69],"saliency.":[71],"interpolating":[73],"biorthogonal":[74],"integer":[75],"wavelet":[76],"transform":[77],"(IB-IWT)":[78],"used":[80],"extract":[82],"orientation":[83,87],"features,":[84],"saliency":[88],"obtained":[90],"with":[91],"thresholding":[92],"filtering.":[94],"weighted":[96],"across-scale":[97],"fusion":[98],"combine":[103],"conspicuity":[104],"maps":[105],"at":[106,116],"different":[107,117],"scales":[108],"into":[109],"one":[110],"map":[111],"while":[112],"retaining":[113],"salient":[114],"scales.":[118],"experimental":[120],"reveal":[122],"that":[123],"new":[125],"computationally":[128],"provides":[131],"visually":[133],"accurate":[134],"results.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}