{"id":"https://openalex.org/W1976999775","doi":"https://doi.org/10.1002/(sici)1520-684x(19991115)30:12<34::aid-scj4>3.0.co;2-z","title":"A change detection method for remotely sensed images using a statistical test for change recognition and change pattern discrimination","display_name":"A change detection method for remotely sensed images using a statistical test for change recognition and change pattern discrimination","publication_year":1999,"publication_date":"1999-11-15","ids":{"openalex":"https://openalex.org/W1976999775","doi":"https://doi.org/10.1002/(sici)1520-684x(19991115)30:12<34::aid-scj4>3.0.co;2-z","mag":"1976999775"},"language":"en","primary_location":{"id":"doi:10.1002/(sici)1520-684x(19991115)30:12<34::aid-scj4>3.0.co;2-z","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1520-684x(19991115)30:12<34::aid-scj4>3.0.co;2-z","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-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/A5101935843","display_name":"Hiroshi Okumura","orcid":null},"institutions":[{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Okumura","raw_affiliation_strings":["Faculty of Engineering, Nagaoka University of Technology, Nagaoka, Japan 940-2188","Faculty of Engineering, Nagaoka University of Technology, Nagaoka, Japan 940\u20102188"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Nagaoka University of Technology, Nagaoka, Japan 940-2188","institution_ids":["https://openalex.org/I85922643"]},{"raw_affiliation_string":"Faculty of Engineering, Nagaoka University of Technology, Nagaoka, Japan 940\u20102188","institution_ids":["https://openalex.org/I85922643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030674907","display_name":"Hiroshi Hanaizumi","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Hanaizumi","raw_affiliation_strings":["Faculty of Engineering, Hosei University, Tokyo, Japan 184-8584","Faculty of Engineering, Hosei University, Tokyo, Japan 184\u20108584"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Hosei University, Tokyo, Japan 184-8584","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Faculty of Engineering, Hosei University, Tokyo, Japan 184\u20108584","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110111878","display_name":"Toshinori Yoshikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshinori Yoshikawa","raw_affiliation_strings":["Faculty of Engineering, Nagaoka University of Technology, Nagaoka, Japan 940-2188","Faculty of Engineering, Nagaoka University of Technology, Nagaoka, Japan 940\u20102188"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Nagaoka University of Technology, Nagaoka, Japan 940-2188","institution_ids":["https://openalex.org/I85922643"]},{"raw_affiliation_string":"Faculty of Engineering, Nagaoka University of Technology, Nagaoka, Japan 940\u20102188","institution_ids":["https://openalex.org/I85922643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1746696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"12","first_page":"34","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7351425886154175},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6629586219787598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6189522743225098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6082096099853516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5903622508049011},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5290340781211853},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5021977424621582},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.45809847116470337},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4228285849094391},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3347606062889099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2968210279941559},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2596818804740906},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18530333042144775},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1130877137184143}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7351425886154175},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6629586219787598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6189522743225098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6082096099853516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5903622508049011},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5290340781211853},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5021977424621582},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.45809847116470337},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4228285849094391},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3347606062889099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2968210279941559},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2596818804740906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18530333042144775},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1130877137184143},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/(sici)1520-684x(19991115)30:12<34::aid-scj4>3.0.co;2-z","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1520-684x(19991115)30:12<34::aid-scj4>3.0.co;2-z","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.550000011920929},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1778521003","https://openalex.org/W2036798369","https://openalex.org/W2147243899","https://openalex.org/W2260859552","https://openalex.org/W2327841803","https://openalex.org/W2332706808","https://openalex.org/W2403035479","https://openalex.org/W6702521049"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W3005969065","https://openalex.org/W2031512949"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,38,43,50,89,156],"new":[4],"method":[5,36,99,145,162],"for":[6,12],"detection":[7],"of":[8,14,46,70,124,136,158],"changed":[9,51],"regions":[10,79],"and":[11,31],"classification":[13],"their":[15,85],"change":[16,137],"pattern,":[17],"\u201cDETECT,\u201d":[18],"from":[19,102],"two":[20,57],"remotely":[21],"sensed":[22],"multispectral":[23],"multitemporal":[24],"images":[25],"acquired":[26],"at":[27,32],"the":[28,68,94,97,121,125,134,143],"same":[29],"location":[30,122],"different":[33,58],"times.":[34,59],"The":[35,128,161],"applies":[37],"local":[39],"regression":[40,71,86],"model":[41],"to":[42,65,165,170],"rectangular":[44],"region":[45],"interest":[47],"based":[48],"on":[49],"pixel":[52],"intensity":[53],"distribution":[54],"pattern":[55],"between":[56],"A":[60],"statistical":[61],"test":[62],"is":[63,100,107,139,163],"examined":[64,152],"judge":[66],"whether":[67],"differences":[69],"coefficients":[72,87],"are":[73,80,151],"significant":[74,90],"or":[75,119],"not.":[76],"Then,":[77],"these":[78],"subdivided":[81],"into":[82],"subregions":[83],"when":[84,168],"show":[88],"difference.":[91],"Compared":[92],"with":[93],"conventional":[95],"method,":[96],"proposed":[98,144],"free":[101],"impulse":[103],"noise.":[104],"Also,":[105],"it":[106],"not":[108],"influenced":[109],"by":[110,114,120,153],"apparent":[111],"changes":[112,123],"caused":[113],"sensitivity":[115],"degradation":[116],"in":[117],"sensors":[118],"light":[126],"source.":[127],"threshold,":[129],"which":[130],"will":[131],"directly":[132],"affect":[133],"result":[135],"recognition,":[138],"determined":[140],"theoretically.":[141],"Therefore,":[142],"yields":[146],"inarbitrary":[147],"results.":[148],"These":[149],"features":[150],"simulations":[154],"using":[155],"set":[157],"artificial":[159],"images.":[160,173],"demonstrated":[164],"be":[166],"successful":[167],"applied":[169],"actual":[171],"satellite":[172],"\u00a9":[174],"1999":[175,183],"Scripta":[176],"Technica,":[177],"Syst":[178],"Comp":[179],"Jpn,":[180],"30(12):":[181],"34\u201342,":[182]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
