{"id":"https://openalex.org/W4200110683","doi":"https://doi.org/10.1145/3490035.3490267","title":"A novel unsupervised thresholding technique for landsat image change detection","display_name":"A novel unsupervised thresholding technique for landsat image change detection","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4200110683","doi":"https://doi.org/10.1145/3490035.3490267"},"language":"en","primary_location":{"id":"doi:10.1145/3490035.3490267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490035.3490267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and 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/A5100605657","display_name":"Neha Gupta","orcid":"https://orcid.org/0000-0002-2287-1259"},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]},{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Neha Gupta","raw_affiliation_strings":["VIT-AP University, Amaravati, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"VIT-AP University, Amaravati, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031738703","display_name":"Samit Ari","orcid":"https://orcid.org/0000-0002-5599-081X"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samit Ari","raw_affiliation_strings":["National Institute of Technology, Rourkela, Odisha, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083027749","display_name":"Anoop Kumar Mishra","orcid":"https://orcid.org/0000-0001-9675-0217"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]},{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anoop Kumar Mishra","raw_affiliation_strings":["VIT-AP University, Amaravati, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"VIT-AP University, Amaravati, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100605657"],"corresponding_institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"],"apc_list":null,"apc_paid":null,"fwci":0.4986,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6992145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9940000176429749,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9793000221252441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.9038748741149902},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.8701896667480469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406020164489746},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7135003805160522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7119085788726807},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7085988521575928},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6726669073104858},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.5128174424171448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5062138438224792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47690677642822266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4426882565021515},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43312427401542664},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10355943441390991}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.9038748741149902},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8701896667480469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406020164489746},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7135003805160522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7119085788726807},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7085988521575928},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6726669073104858},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.5128174424171448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5062138438224792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47690677642822266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4426882565021515},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43312427401542664},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10355943441390991},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3490035.3490267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490035.3490267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1420908056","https://openalex.org/W1598602811","https://openalex.org/W1800551407","https://openalex.org/W2002358109","https://openalex.org/W2007139101","https://openalex.org/W2027091505","https://openalex.org/W2034073840","https://openalex.org/W2127403029","https://openalex.org/W2133059825","https://openalex.org/W2158275940","https://openalex.org/W2160544350","https://openalex.org/W2344964876","https://openalex.org/W2345276721","https://openalex.org/W2410034714","https://openalex.org/W2531619007","https://openalex.org/W2612798538","https://openalex.org/W2751895300","https://openalex.org/W2786976734","https://openalex.org/W2884343155","https://openalex.org/W2885158046","https://openalex.org/W2896048210","https://openalex.org/W2896789434","https://openalex.org/W2912466506","https://openalex.org/W2969773064"],"related_works":["https://openalex.org/W2164995725","https://openalex.org/W2031512949","https://openalex.org/W2128126485","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1752760603","https://openalex.org/W1995889410","https://openalex.org/W3005969065"],"abstract_inverted_index":{"Thresholding":[0],"is":[1,69,145],"the":[2,11,20,28,48,53,65,70,96,100,104,109,114,120,143,158,161],"most":[3,18],"widely":[4],"used":[5],"change":[6,30,66],"detection":[7],"technique":[8,45,58],"for":[9],"identifying":[10],"changes":[12],"in":[13,27],"remote":[14],"sensing":[15],"images.":[16],"However,":[17],"of":[19,73,99,108,116,127,131,137,151,160],"thresholding":[21,44],"methods":[22],"would":[23],"generate":[24,64],"isolated":[25],"spots":[26],"final":[29],"map,":[31,67],"which":[32,68,112],"are":[33,78,84],"reduced":[34],"by":[35,80,86],"applying":[36,52],"postprocessing":[37],"step.":[38],"This":[39],"paper":[40],"proposes":[41],"a":[42],"novel":[43],"to":[46,63],"address":[47],"aforesaid":[49],"problem":[50],"without":[51],"postprocessisng":[54],"operation.":[55],"The":[56],"proposed":[57,162],"uses":[59],"two":[60,132],"thresholds":[61,77,106,133],"simultaneously":[62],"key":[71],"point":[72],"this":[74,93,117],"method.":[75,163],"Above-stated":[76],"calculated":[79],"initial":[81,128],"indicators":[82],"that":[83],"generated":[85],"local":[87,97,138],"neighborhood":[88],"mutual":[89],"information.":[90],"In":[91],"addition,":[92],"approach":[94],"compares":[95],"statistics":[98,139],"interested":[101],"pixel":[102,110],"with":[103,140],"derived":[105],"instead":[107],"itself,":[111],"enhances":[113],"robustness":[115],"technique.":[118],"Particularly,":[119],"method":[121,144],"resides":[122],"on":[123,147],"three":[124],"things:":[125],"generation":[126],"indicators,":[129],"use":[130],"simultaneously,":[134],"and":[135,154],"comparison":[136],"thresholds.":[141],"Finally,":[142],"tested":[146],"multitemporal":[148],"multispectral":[149],"images":[150],"different":[152],"sensors,":[153],"experimental":[155],"results":[156],"validate":[157],"effectiveness":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
